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Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz
| Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (456 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OliveiraJ. Valente de (José Valente)
PedryczWitold <1953-> |
| Soggetto topico |
Fuzzy systems
Soft computing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-90081-4
9786610900817 0-470-06119-7 0-470-06118-9 |
| Classificazione | 54.72 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advances in Fuzzy Clustering and its Applications; Contents; List of Contributors; Foreword; Preface; Part I Fundamentals 1; 1 Fundamentals of Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Clustering Algorithms; 1.3 Distance Function Variants; 1.4 Objective Function Variants; 1.5 Update Equation Variants: Alternating Cluster Estimation; 1.6 Concluding Remarks; Acknowledgements; References; 2 Relational Fuzzy Clustering; 2.1 Introduction; 2.2 Object and Relational Data; 2.3 Object Data Clustering Models; 2.4 Relational Clustering; 2.5 Relational Clustering with Non-spherical Prototypes
2.6 Relational Data Interpreted as Object Data2.7 Summary; 2.8 Experiments; 2.9 Conclusions; References; 3 Fuzzy Clustering with Minkowski Distance Functions; 3.1 Introduction; 3.2 Formalization; 3.3 The Majorizing Algorithm for Fuzzy C-means with Minkowski Distances; 3.4 The Effects of the Robustness Parameterl; 3.5 Internet Attitudes; 3.6 Conclusions; References; 4 Soft Cluster Ensembles; 4.1 Introduction; 4.2 Cluster Ensembles; 4.3 Soft Cluster Ensembles; 4.4 Experimental Setup; 4.5 Soft vs. Hard Cluster Ensembles; 4.6 Conclusions and Future Work; Acknowledgements; References Part II Visualization5 Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures; 5.1 Problem Definition; 5.2 Classical Methods for Cluster Validity and Merging; 5.3 Similarity of Fuzzy Clusters; 5.4 Visualization of Clustering Results; 5.5 Conclusions; Appendix 5A.1 Validity Indices; Appendix 5A.2 The Modified Sammon Mapping Algorithm; Acknowledgements; References; 6 Interactive Exploration of Fuzzy Clusters; 6.1 Introduction; 6.2 Neighborgram Clustering; 6.3 Interactive Exploration; 6.4 Parallel Universes; 6.5 Discussion; References Part III Algorithms and Computational Aspects7 Fuzzy Clustering with Participatory Learning and Applications; 7.1 Introduction; 7.2 Participatory Learning; 7.3 Participatory Learning in Fuzzy Clustering; 7.4 Experimental Results; 7.5 Applications; 7.6 Conclusions; Acknowledgements; References; 8 Fuzzy Clustering of Fuzzy Data; 8.1 Introduction; 8.2 Informational Paradigm, Fuzziness and Complexity in Clustering Processes; 8.3 Fuzzy Data; 8.4 Fuzzy Clustering of Fuzzy Data; 8.5 An Extension: Fuzzy Clustering Models for Fuzzy Data Time Arrays; 8.6 Applicative Examples 8.7 Concluding Remarks and Future PerspectivesReferences; 9 Inclusion-based Fuzzy Clustering; 9.1 Introduction; 9.2 Background: Fuzzy Clustering; 9.3 Construction of an Inclusion Index; 9.4 Inclusion-based Fuzzy Clustering; 9.5 Numerical Examples and Illustrations; 9.6 Conclusion; Acknowledgements; Appendix 9A.1; References; 10 Mining Diagnostic Rules Using Fuzzy Clustering; 10.1 Introduction; 10.2 Fuzzy Medical Diagnosis; 10.3 Interpretability in Fuzzy Medical Diagnosis; 10.4 A Framework for Mining Interpretable Diagnostic Rules; 10.5 An Illustrative Example; 10.6 Conclusive Remarks References |
| Record Nr. | UNINA-9910143587503321 |
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz
| Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (456 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OliveiraJ. Valente de (José Valente)
PedryczWitold <1953-> |
| Soggetto topico |
Fuzzy systems
Soft computing |
| ISBN |
1-280-90081-4
9786610900817 0-470-06119-7 0-470-06118-9 |
| Classificazione | 54.72 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advances in Fuzzy Clustering and its Applications; Contents; List of Contributors; Foreword; Preface; Part I Fundamentals 1; 1 Fundamentals of Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Clustering Algorithms; 1.3 Distance Function Variants; 1.4 Objective Function Variants; 1.5 Update Equation Variants: Alternating Cluster Estimation; 1.6 Concluding Remarks; Acknowledgements; References; 2 Relational Fuzzy Clustering; 2.1 Introduction; 2.2 Object and Relational Data; 2.3 Object Data Clustering Models; 2.4 Relational Clustering; 2.5 Relational Clustering with Non-spherical Prototypes
2.6 Relational Data Interpreted as Object Data2.7 Summary; 2.8 Experiments; 2.9 Conclusions; References; 3 Fuzzy Clustering with Minkowski Distance Functions; 3.1 Introduction; 3.2 Formalization; 3.3 The Majorizing Algorithm for Fuzzy C-means with Minkowski Distances; 3.4 The Effects of the Robustness Parameterl; 3.5 Internet Attitudes; 3.6 Conclusions; References; 4 Soft Cluster Ensembles; 4.1 Introduction; 4.2 Cluster Ensembles; 4.3 Soft Cluster Ensembles; 4.4 Experimental Setup; 4.5 Soft vs. Hard Cluster Ensembles; 4.6 Conclusions and Future Work; Acknowledgements; References Part II Visualization5 Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures; 5.1 Problem Definition; 5.2 Classical Methods for Cluster Validity and Merging; 5.3 Similarity of Fuzzy Clusters; 5.4 Visualization of Clustering Results; 5.5 Conclusions; Appendix 5A.1 Validity Indices; Appendix 5A.2 The Modified Sammon Mapping Algorithm; Acknowledgements; References; 6 Interactive Exploration of Fuzzy Clusters; 6.1 Introduction; 6.2 Neighborgram Clustering; 6.3 Interactive Exploration; 6.4 Parallel Universes; 6.5 Discussion; References Part III Algorithms and Computational Aspects7 Fuzzy Clustering with Participatory Learning and Applications; 7.1 Introduction; 7.2 Participatory Learning; 7.3 Participatory Learning in Fuzzy Clustering; 7.4 Experimental Results; 7.5 Applications; 7.6 Conclusions; Acknowledgements; References; 8 Fuzzy Clustering of Fuzzy Data; 8.1 Introduction; 8.2 Informational Paradigm, Fuzziness and Complexity in Clustering Processes; 8.3 Fuzzy Data; 8.4 Fuzzy Clustering of Fuzzy Data; 8.5 An Extension: Fuzzy Clustering Models for Fuzzy Data Time Arrays; 8.6 Applicative Examples 8.7 Concluding Remarks and Future PerspectivesReferences; 9 Inclusion-based Fuzzy Clustering; 9.1 Introduction; 9.2 Background: Fuzzy Clustering; 9.3 Construction of an Inclusion Index; 9.4 Inclusion-based Fuzzy Clustering; 9.5 Numerical Examples and Illustrations; 9.6 Conclusion; Acknowledgements; Appendix 9A.1; References; 10 Mining Diagnostic Rules Using Fuzzy Clustering; 10.1 Introduction; 10.2 Fuzzy Medical Diagnosis; 10.3 Interpretability in Fuzzy Medical Diagnosis; 10.4 A Framework for Mining Interpretable Diagnostic Rules; 10.5 An Illustrative Example; 10.6 Conclusive Remarks References |
| Record Nr. | UNINA-9910830897803321 |
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz
| Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (456 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OliveiraJ. Valente de (José Valente)
PedryczWitold <1953-> |
| Soggetto topico |
Fuzzy systems
Soft computing |
| ISBN |
1-280-90081-4
9786610900817 0-470-06119-7 0-470-06118-9 |
| Classificazione | 54.72 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advances in Fuzzy Clustering and its Applications; Contents; List of Contributors; Foreword; Preface; Part I Fundamentals 1; 1 Fundamentals of Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Clustering Algorithms; 1.3 Distance Function Variants; 1.4 Objective Function Variants; 1.5 Update Equation Variants: Alternating Cluster Estimation; 1.6 Concluding Remarks; Acknowledgements; References; 2 Relational Fuzzy Clustering; 2.1 Introduction; 2.2 Object and Relational Data; 2.3 Object Data Clustering Models; 2.4 Relational Clustering; 2.5 Relational Clustering with Non-spherical Prototypes
2.6 Relational Data Interpreted as Object Data2.7 Summary; 2.8 Experiments; 2.9 Conclusions; References; 3 Fuzzy Clustering with Minkowski Distance Functions; 3.1 Introduction; 3.2 Formalization; 3.3 The Majorizing Algorithm for Fuzzy C-means with Minkowski Distances; 3.4 The Effects of the Robustness Parameterl; 3.5 Internet Attitudes; 3.6 Conclusions; References; 4 Soft Cluster Ensembles; 4.1 Introduction; 4.2 Cluster Ensembles; 4.3 Soft Cluster Ensembles; 4.4 Experimental Setup; 4.5 Soft vs. Hard Cluster Ensembles; 4.6 Conclusions and Future Work; Acknowledgements; References Part II Visualization5 Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures; 5.1 Problem Definition; 5.2 Classical Methods for Cluster Validity and Merging; 5.3 Similarity of Fuzzy Clusters; 5.4 Visualization of Clustering Results; 5.5 Conclusions; Appendix 5A.1 Validity Indices; Appendix 5A.2 The Modified Sammon Mapping Algorithm; Acknowledgements; References; 6 Interactive Exploration of Fuzzy Clusters; 6.1 Introduction; 6.2 Neighborgram Clustering; 6.3 Interactive Exploration; 6.4 Parallel Universes; 6.5 Discussion; References Part III Algorithms and Computational Aspects7 Fuzzy Clustering with Participatory Learning and Applications; 7.1 Introduction; 7.2 Participatory Learning; 7.3 Participatory Learning in Fuzzy Clustering; 7.4 Experimental Results; 7.5 Applications; 7.6 Conclusions; Acknowledgements; References; 8 Fuzzy Clustering of Fuzzy Data; 8.1 Introduction; 8.2 Informational Paradigm, Fuzziness and Complexity in Clustering Processes; 8.3 Fuzzy Data; 8.4 Fuzzy Clustering of Fuzzy Data; 8.5 An Extension: Fuzzy Clustering Models for Fuzzy Data Time Arrays; 8.6 Applicative Examples 8.7 Concluding Remarks and Future PerspectivesReferences; 9 Inclusion-based Fuzzy Clustering; 9.1 Introduction; 9.2 Background: Fuzzy Clustering; 9.3 Construction of an Inclusion Index; 9.4 Inclusion-based Fuzzy Clustering; 9.5 Numerical Examples and Illustrations; 9.6 Conclusion; Acknowledgements; Appendix 9A.1; References; 10 Mining Diagnostic Rules Using Fuzzy Clustering; 10.1 Introduction; 10.2 Fuzzy Medical Diagnosis; 10.3 Interpretability in Fuzzy Medical Diagnosis; 10.4 A Framework for Mining Interpretable Diagnostic Rules; 10.5 An Illustrative Example; 10.6 Conclusive Remarks References |
| Record Nr. | UNINA-9910841042903321 |
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ambient intelligence, wireless networking, and ubiquitous computing / / Athanasios Vasilakos, Witold Pedrycz, editors
| Ambient intelligence, wireless networking, and ubiquitous computing / / Athanasios Vasilakos, Witold Pedrycz, editors |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2006 |
| Descrizione fisica | 1 online resource (476 p.) |
| Disciplina | 004 |
| Altri autori (Persone) |
VasilakosAthanasios
PedryczWitold <1953-> |
| Collana | Artech House mobile communications series |
| Soggetto topico |
Ambient intelligence
Ubiquitous computing Wireless communication systems |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-58053-964-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ambient Intelligence, Wireless Networking, and Ubiquitous Computing; Contents vii; Preface xvii; Chapter 1 Ambient Intelligence: Visions and Technologies 1; Chapter 2 Ambient Intelligence and Fuzzy Adaptive Embedded Agents 13; Chapter 3 Ambient Intelligence: The MyCampus Experience; Chapter 4 Physical Browsing 61; Chapter 5 Ambient Interfaces for Distributed Workgroups: Design Challenges and Recommendations 83; Chapter 6 Expanding the Role of Wearable Computing in Business Transformation and Living; Chapter 7 Grids for Ubiquitous Computing and Ambient Intelligence 127. |
| Record Nr. | UNINA-9910450996603321 |
| Boston : , : Artech House, , ©2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ambient intelligence, wireless networking, and ubiquitous computing / / Athanasios Vasilakos, Witold Pedrycz, editors
| Ambient intelligence, wireless networking, and ubiquitous computing / / Athanasios Vasilakos, Witold Pedrycz, editors |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2006 |
| Descrizione fisica | 1 online resource (476 p.) |
| Disciplina | 004 |
| Altri autori (Persone) |
VasilakosAthanasios
PedryczWitold <1953-> |
| Collana | Artech House mobile communications series |
| Soggetto topico |
Ambient intelligence
Ubiquitous computing Wireless communication systems |
| ISBN | 1-58053-964-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ambient Intelligence, Wireless Networking, and Ubiquitous Computing; Contents vii; Preface xvii; Chapter 1 Ambient Intelligence: Visions and Technologies 1; Chapter 2 Ambient Intelligence and Fuzzy Adaptive Embedded Agents 13; Chapter 3 Ambient Intelligence: The MyCampus Experience; Chapter 4 Physical Browsing 61; Chapter 5 Ambient Interfaces for Distributed Workgroups: Design Challenges and Recommendations 83; Chapter 6 Expanding the Role of Wearable Computing in Business Transformation and Living; Chapter 7 Grids for Ubiquitous Computing and Ambient Intelligence 127. |
| Record Nr. | UNINA-9910784141803321 |
| Boston : , : Artech House, , ©2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ambient intelligence, wireless networking, and ubiquitous computing / / Athanasios Vasilakos, Witold Pedrycz, editors
| Ambient intelligence, wireless networking, and ubiquitous computing / / Athanasios Vasilakos, Witold Pedrycz, editors |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2006 |
| Descrizione fisica | 1 online resource (476 p.) |
| Disciplina | 004 |
| Altri autori (Persone) |
VasilakosAthanasios
PedryczWitold <1953-> |
| Collana | Artech House mobile communications series |
| Soggetto topico |
Ambient intelligence
Ubiquitous computing Wireless communication systems |
| ISBN | 1-58053-964-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ambient Intelligence, Wireless Networking, and Ubiquitous Computing; Contents vii; Preface xvii; Chapter 1 Ambient Intelligence: Visions and Technologies 1; Chapter 2 Ambient Intelligence and Fuzzy Adaptive Embedded Agents 13; Chapter 3 Ambient Intelligence: The MyCampus Experience; Chapter 4 Physical Browsing 61; Chapter 5 Ambient Interfaces for Distributed Workgroups: Design Challenges and Recommendations 83; Chapter 6 Expanding the Role of Wearable Computing in Business Transformation and Living; Chapter 7 Grids for Ubiquitous Computing and Ambient Intelligence 127. |
| Record Nr. | UNINA-9910812690203321 |
| Boston : , : Artech House, , ©2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and pattern recognition in multiple databases / / Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz
| Data analysis and pattern recognition in multiple databases / / Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz |
| Autore | Adhikari Animesh |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xv, 238 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Data mining
Engineering Optical pattern recognition |
| ISBN | 3-319-03410-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From the Contents: Synthesizing Different Extreme Association Rules in Multiple Data Sources -- Clustering items in time-stamped databases induced by stability -- Mining global patterns in multiple large databases -- Clustering Local Frequency Items in Multiple Data Sources -- Mining Patterns of Select Items in Different Data Sources. |
| Record Nr. | UNINA-9910299480003321 |
Adhikari Animesh
|
||
| Cham, Switzerland : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Developments in advanced control and intelligent automation for complex systems / / editors, Min Wu, Witold Pedrycz, Luefeng Chen
| Developments in advanced control and intelligent automation for complex systems / / editors, Min Wu, Witold Pedrycz, Luefeng Chen |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (x, 411 pages) : illustrations |
| Disciplina | 629.8 |
| Collana | Studies in systems, decision and control |
| Soggetto topico |
Automatic control
Robotics Control automàtic Robòtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-62147-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Advanced Control Theory and Method -- Stability Analysis and Hinfty Control of Time-Delay Systems -- 1 Introduction -- 2 Stability Analysis Based on A Relaxed Integral Inequality -- 2.1 System Description -- 2.2 A Stability Criterion -- 2.3 A Numerical Example -- 3 Hinfty Control Design Based on A Parameter Tuning Method -- 3.1 Problem Formulation -- 3.2 Hinfty Performance Based Control Design -- 3.3 A Numerical Example -- 4 Load Frequency Control for A Delayed One-Area Power System -- 4.1 Dynamic Model of the LFC Scheme -- 4.2 Stability Assessment of PI-Based LFC Schemes -- 4.3 Design of the SF-Based LFC Scheme -- 4.4 Case Studies -- References -- Active Disturbance Rejection in Repetitive Control Systems -- 1 Introduction -- 2 Repetitive Control -- 2.1 Two-Dimensional Property of Repetitive Control -- 2.2 Modified Repetitive-Control System -- 3 Equivalent-Input-Disturbance Approach -- 3.1 Basic Concept of Equivalent Input Disturbance -- 3.2 Equivalent-Input-Disturbance Estimation -- 3.3 Analysis of Disturbance Rejection -- 4 Disturbance Rejection for Repetitive Control System with Time-Varying Nonlinearity -- 4.1 Analysis and Design of Nonlinear MRCS -- 4.2 Design Algorithm for Nonlinear MRCS -- 4.3 Simulation Verification and Analysis -- 5 Conclusion -- References -- Intelligent Control of Underactuated Mechanical System -- 1 Introduction -- 2 Preparations -- 3 A Continuous Control Method for Planar Underactuated Manipulator with Passive First Joint -- 3.1 Continuous Controller Design -- 3.2 Optimization of Target Angles and Design Parameters -- 3.3 Simulations -- 4 A Unified Control Method for Planar Underactuated Manipulator with One Passive Joint -- 4.1 Trajectory Planning and Parameters Optimization -- 4.2 Trajectory Tracking Controllers Design -- 4.3 Simulations -- 5 Conclusion -- References.
Finite-Time Fault Detection and Hinfty State Estimation for Markov Jump Systems Under Dynamic Event-Triggered Mechanism -- 1 Introduction -- 2 Finite-Time Fault Detection -- 2.1 Problem Formulation -- 2.2 Main Results -- 2.3 Detection Threshold Design -- 2.4 Numerical Example -- 3 Finite-Time Hinfty State Estimation -- 3.1 Problem Formulation -- 3.2 Main Results -- 3.3 Numerical Example -- 4 Conclusion -- References -- Intelligent Control and Decision-Making of Complex Metallurgical Processes -- Intelligent Control of Sintering Process -- 1 Sintering Process and Characteristics Analysis -- 1.1 Iron Ore Sintering Process -- 1.2 Characteristics Analysis for Sintering Process -- 1.3 Control Objectives -- 2 Carbon Efficiency Prediction and Optimization -- 2.1 Carbon Efficiency Hybrid Prediction Model -- 2.2 Carbon Efficiency Intelligent Optimization -- 2.3 Experimental Results and Analysis -- 3 Intelligent Control of Sintering Ignition Based on the Prediction of Ignition Temperature -- 3.1 Control Requirements and Control Structure -- 3.2 Prediction Model of Ignition Temperature -- 3.3 Design of Intelligent Controller -- 3.4 Experiment and Result Analysis -- 4 Fuzzy Control of Burn-Through Point Based on the Feature Extraction of Time Series Trend -- 4.1 Control Requirements and Control Structure -- 4.2 Feature Extraction of Time Series Trend -- 4.3 Design of Fuzzy Controller -- 4.4 Experimental Study and Result Analysis -- 5 Optimization and Control System of Carbon Efficiency -- 5.1 Architecture of OCSCE -- 5.2 Implementation Scheme -- 6 Conclusion -- References -- Decision-Making of Burden Distribution for Blast Furnace -- 1 Analysis of Ironmaking and Burden Distribution -- 1.1 Ironmaking Process -- 1.2 Gas Flow and Gas Utilization Rate -- 1.3 Effect of Burden Distribution -- 2 Prediction Model of Gas Utilization Rate. 2.1 Prediction Model of GUR Based on Chaos Theory -- 2.2 Prediction Model of GUR Based on Case-Matching -- 2.3 Prediction Model of GUR Based on Multi-time-Scale -- 3 Decision-Making Strategy -- 3.1 Structure of Decision-Making Strategy -- 3.2 Decision-Making Procedure -- 3.3 Decision-Making Verification -- 4 Conclusion -- References -- Intelligent System and Machine Learning -- Granular Computing: Fundamentals and System Modeling -- 1 Introduction -- 2 Information Granules and Information Granularity -- 3 Frameworks of Information Granules -- 4 Information Granules and Their Two-Phase Development Process -- 4.1 Clustering as a Prerequisite of Information Granules -- 4.2 The Principle of Justifiable Granularity -- 5 Augmentation of the Design Process of Information Granules -- 6 Symbolic View at Information Granules and Their Symbolic Characterization and Summarization -- 7 Granular Probes of Spatiotemporal Data -- 8 Granular Models -- 8.1 The Concept -- 8.2 Construction of Granular Models -- 9 Conclusions -- References -- Distributed Consensus Control for Nonlinear Multi-agent Systems -- 1 Introduction -- 1.1 Background and Related Work -- 1.2 Preliminaries -- 2 ADHDP-Based Distributed Consensus Control for MASs -- 2.1 Problem Formulation -- 2.2 ADHDP-Based Distributed Consensus Control Method -- 2.3 Implementation of the ADHDP-Based Distributed Consensus Control Method -- 2.4 Simulation Results -- 3 ADP-Based Distributed Model Reference Consensus Control for MASs -- 3.1 Problem Formulation -- 3.2 ADP-Based Distributed Model Reference Control Method -- 3.3 MRAC Scheme for Individual Agent -- 3.4 Distributed Value Iteration Algorithm -- 3.5 Simulation Studies -- 4 Conclusion -- References -- Stochastic Consensus Control of Multi-agent Systems under General Noises and Delays -- 1 Introduction -- 2 Problem Formulation and Preliminary. 3 Networks with Additive Noises -- 3.1 Mean Square Weak Consensus -- 3.2 Almost Sure Weak Consensus -- 3.3 Mean Square and Almost Sure Strong Consensus -- 4 Networks with Additive Noises and Delays -- 4.1 Mean Square Weak Consensus -- 4.2 Almost Sure Weak Consensus -- 4.3 Mean Square and Almost Sure Strong Consensus -- 5 Simulations -- 6 Conclusion -- References -- Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction -- 1 Introduction -- 1.1 Multimodal Emotion Recognition -- 1.2 Emotional Intention Understanding -- 1.3 Emotional Human-Robot Interaction System -- 1.4 The Structure of the Chapter -- 2 Multimodal Emotion Feature Extraction -- 2.1 Regions of Interest based Feature Extraction in Facial Expression -- 2.2 Sparse Coding-SURF based Feature Extraction in Body Gesture -- 2.3 FCM based Feature Extraction in the Speech Emotion -- 3 Multimodal Emotion Recognition -- 3.1 Softmax Regression based Deep Sparse Autoencoder Network for Facial Emotion Recognition -- 3.2 Multi-SVM based Dempster-Shafer Theory for Gesture Recognition Using Sparse Coding Feature -- 3.3 Two-Layer Fuzzy Multiple Random Forest for Speech Emotion Recognition -- 3.4 Two-stage Fuzzy Fusion based Convolution Neural Network for Dynamic Facial Expression and Speech Emotion Recognition -- 4 Emotion Intention Understanding -- 4.1 Three-Layer Weighted Fuzzy Support Vector Regression for Emotion Intention Understanding -- 4.2 Dynamic Emotion Understanding in Human-Robot Interaction Based on Two-layer Fuzzy SVR-TS Model -- 5 Experiments and Applications of Emotional Human-Robot Interaction System -- 5.1 Multimodal Emotional Human-Robot Interaction System -- 5.2 The Application Experiment of Emotional Human-Robot Interaction System -- 6 Conclusion -- References. Dynamic Multi-objective Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions -- 1 Introduction -- 2 Background -- 2.1 Basic Definitions -- 2.2 Dynamic Multi-objective Optimization Algorithms -- 3 Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions -- 3.1 Road Network Topology -- 3.2 Formulation of MOVRPRTC -- 4 Offline Optimization and Online Optimization for MOVRPRTC -- 4.1 Framework of ALSDCMOEA -- 4.2 Online Optimization -- 5 Experiment -- 6 Conclusion -- References -- Intelligent Robot System Design and Control -- Dielectric Elastomer Intelligent Devices for Soft Robots -- 1 Dynamic Modelling of Dielectric Elastomer Intelligent Actuator (DEIA) -- 1.1 Introduction -- 1.2 DEIA Manufacture and Experiment Platform Description -- 1.3 DEIA Modelling -- 1.4 Parameter Identification of Dynamic Model -- 1.5 Model Validation -- 2 Study of Soft Force and Displacement Intelligent Sensor (SFDIS) -- 2.1 Introduction -- 2.2 Experiment System Description -- 2.3 SFDIS Modelling -- 2.4 Parameter Identification of Sensing Model -- 2.5 Model Validation -- 3 Conclusion -- References -- Design of a 2-DOF Compliant Micropositioning Stage with Large Workspace -- 1 Introduction -- 2 Mechanical Design of XY Stage -- 2.1 Introduction of Basic Mechanisms -- 2.2 Propose of XY Stage -- 3 Static Modeling and Characteristic Analysis -- 3.1 Modeling of Single Flexure Hinges -- 3.2 Transform of Compliance Matrix -- 3.3 Compliance Matrix of Each Part -- 3.4 Output Compliance Matrix of XY Stage -- 3.5 Input Compliance of XY Stage -- 3.6 Amplification Ratio of XY Stage -- 4 Model Verification with FEA -- 5 Conclusion -- References -- Assistive Robots -- 1 Introduction -- 2 Human-Body-Motion-Controlled Electric Wheelchair -- 2.1 Electric Wheelchair with Human-Body-Motion Interface -- 2.2 Tuning of Gain A -- 2.3 Experiments. 2.4 Conclusion. |
| Record Nr. | UNINA-9910484586103321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emotion recognition and understanding for emotional human-robot interaction systems / / Luefeng Chen [et al.]
| Emotion recognition and understanding for emotional human-robot interaction systems / / Luefeng Chen [et al.] |
| Autore | Chen Luefeng |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 247 p. 130 illus., 85 illus. in color.) |
| Disciplina | 507.2 |
| Altri autori (Persone) |
WuMin PedryczWitold <1953-> HirotaK (Kaoru) |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Human-robot interaction
Robotics - Human factors Emotion recognition |
| ISBN | 3-030-61577-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Multi-modal emotion feature extraction -- Deep sparse autoencoder network for facial emotion recognition -- AdaBoost-knn with direct optimization for dynamic emotion recognition -- Weight-adapted convolution neural network for facial expression recognition -- Two-layer fuzzy multiple random forest for speech emotion recognition -- Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition -- Multi-support vector machine based Dempster-Shafer theory for gesture intention understanding -- Three-layer weighted fuzzy support vector regressions for emotional intention understanding -- Dynamic emotion understanding based on two-layer fuzzy fuzzy support vector regression-Takagi-Sugeno model -- Emotion-age-gender-nationality based intention understanding using two-layer fuzzy support vector regression -- Emotional human-robot interaction systems -- Experiments and applications of emotional human-robot. |
| Record Nr. | UNINA-9910484411703321 |
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Chen Luefeng
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of granular computing [[electronic resource] /] / edited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich
| Handbook of granular computing [[electronic resource] /] / edited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich |
| Pubbl/distr/stampa | Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
| Descrizione fisica | 1 online resource (1150 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PedryczWitold <1953->
SkowronAndrzej KreinovichVladik |
| Soggetto topico | Granular computing |
| ISBN |
1-282-68617-8
9786612686177 0-470-72416-1 0-470-72415-3 |
| Classificazione | 54.51 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Handbook of granular computing; Contents; Preface; Foreword; Biographies; Part One Fundamentals and Methodology of Granular Computing Based on Interval Analysis, Fuzzy Sets and Rough Sets; 1 Interval Computation as an Important Part of Granular Computing: An Introduction; 2 Stochastic Arithmetic as a Model of Granular Computing; 3 Fundamentals of Interval Analysis and Linkages to Fuzzy Set Theory; 4 Interval Methods for Non-Linear Equation Solving Applications; 5 Fuzzy Sets as a User-Centric Processing Framework of Granular Computing; 6 Measurement and Elicitation of Membership Functions
7 Fuzzy Clustering as a Data-Driven Development Environment for Information Granules8 Encoding and Decoding of Fuzzy Granules; 9 Systems of Information Granules; 10 Logical Connectives for Granular Computing; 11 Calculi of Information Granules. Fuzzy Relational Equations; 12 Fuzzy Numbers and Fuzzy Arithmetic; 13 Rough-Granular Computing; 14 Wisdom Granular Computing; 15 Granular Computing for Reasoning about Ordered Data: The Dominance-Based Rough Set Approach; 16 A Unified Approach to Granulation of Knowledge and Granular Computing Based on Rough Mereology: A Survey 17 A Unified Framework of Granular Computing18 Quotient Spaces and Granular Computing; 19 Rough Sets and Granular Computing: Toward Rough-Granular Computing; 20 Construction of Rough Information Granules; 21 Spatiotemporal Reasoning in Rough Sets and Granular Computing; Part Two Hybrid Methods and Models of Granular Computing; 22 A Survey of Interval-Valued Fuzzy Sets; 23 Measurement Theory and Uncertainty in Measurements: Application of Interval Analysis and Fuzzy Sets Methods; 24 Fuzzy Rough Sets: From Theory into Practice; 25 On Type 2 Fuzzy Sets as Granular Models for Words 26 Design of Intelligent Systems with Interval Type-2 Fuzzy Logic27 Theoretical Aspects of Shadowed Sets; 28 Fuzzy Representations of Spatial Relations for Spatial Reasoning; 29 Rough-Neural Methodologies in Granular Computing; 30 Approximation and Perception in Ethology-Based Reinforcement Learning; 31 Fuzzy Linear Programming; 32 A Fuzzy Regression Approach to Acquisition of Linguistic Rules; 33 Fuzzy Associative Memories and Their Relationship to Mathematical Morphology; 34 Fuzzy Cognitive Maps; Part Three Applications and Case Studies 35 Rough Sets and Granular Computing in Behavioral Pattern Identification and Planning36 Rough Sets and Granular Computing in Hierarchical Learning; 37 Outlier and Exception Analysis in Rough Sets and Granular Computing; 38 Information Access and Retrieval; 39 Granular Computing in Medical Informatics; 40 Eigen Fuzzy Sets and Image Information Retrieval; 41 Rough Sets and Granular Computing in Dealing with Missing Attribute Values; 42 Granular Computing in Machine Learning and Data Mining 43 On Group Decision Making, Consensus Reaching, Voting, and Voting Paradoxes under Fuzzy Preferences and a Fuzzy Majority: A Survey and a Granulation Perspective |
| Record Nr. | UNINA-9910144118303321 |
| Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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