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Artificial Neural Networks [[electronic resource] ] : Methods and Applications in Bio-/Neuroinformatics / / edited by Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov
| Artificial Neural Networks [[electronic resource] ] : Methods and Applications in Bio-/Neuroinformatics / / edited by Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (487 p.) |
| Disciplina |
006.3
570285 612.8 620 |
| Collana | Springer Series in Bio-/Neuroinformatics |
| Soggetto topico |
Computational intelligence
Bioinformatics Control engineering Neurosciences Computational Intelligence Computational Biology/Bioinformatics Control and Systems Theory |
| ISBN | 3-319-09903-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks Theory and Models -- New Machine Learning Algorithms for Neural Networks -- Pattern Recognition, Classification and other Neural Network Applications. |
| Record Nr. | UNINA-9910299665003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2013 [[electronic resource] ] : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov
| Artificial Neural Networks and Machine Learning -- ICANN 2013 [[electronic resource] ] : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 643 p. 231 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-40728-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Network Theory and Models -- Hessian Corrected Input Noise Models -- Model-Based Clustering of Temporal Data -- Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data -- An Analytical Approach to Single Node Delay-Coupled Reservoir Computing -- Applying General-Purpose Data Reduction Techniques for Fast Time Classification -- Two-Layer Vector Perceptron -- Local Detection of Communities by Neural-Network Dynamics -- The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks -- Group Fused Lasso -- Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays -- Foundations of Online Backpropagation -- GNMF with Newton-Based Methods -- Improving the Associative Rule Chaining Architecture -- Machine Learning and Learning Algorithms -- A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines -- A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets -- A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory -- Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE -- Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions -- Learning with Hard Constraints -- Bidirectional Activation-based Neural Network Learning Algorithm -- A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition -- Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning -- Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain -- On–Line Laplacian One–Class Support Vector Machines -- OSA: One-Class Recursive SVM Algorithm with Negative Sample for Fault Detection.-Brain-Machine Interaction and Bio-inspired Systems EEG Dataset Reduction and Classification Using Wave Atom Transform -- Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network -- Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI) -- A Biologically Inspired Model for the Detection of External and Internal Head Motions -- Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation -- Learning Sensorimotor Transformations with Dynamic Neural Fields -- Cognitive Sciences and Neuroscience -- Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity -- Memory Trace in Spiking Neural Networks -- Attention-Gated Reinforcement Learning in Neural Networks—A Unified View -- Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones -- Robust Principal Component Analysis for Brain Imaging -- Phase Control of Coupled Neuron Oscillators -- Dendritic Computations in a Rall Model with Strong Distal Stimulation -- Modeling Action Verb Semantics Using Motion Tracking -- Evolution of Dendritic Morphologies Using Deterministic and Genotype to Phenotype Mapping -- Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4 -- Pattern Recognition and Classification -- Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging -- Echo State Networks in Dynamic Data Clustering -- Self-Organization in Parallel Coordinates -- A General Image Representation Scheme and Its Improvement for Image Analysis -- Learning Features for Activity Recognition with Shift-Invariant Sparse Coding -- Hearing Aid Classification Based on Audiology Data -- BLSTM-RNN Based 3D Gesture Classification -- Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data -- A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification -- Exploration of Loneliness Questionnaires Using the Self-Organising Map -- An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS -- Feature Weighting by Maximum Distance Minimization -- Training Computationally Efficient Smartphone–Based Human Activity Recognition Models -- A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers -- Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception -- Neural Network Applications in Control and Robotics Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks -- Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control -- Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System -- A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: cedar -- Adaptive Critic Neural Network Solution of Optimal Control Problems Discrete Time Delays -- Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks -- Neuro-Optimal Controller for Robot Manipulators -- Learning to Walk Using a Recurrent Neural Network with Time Delay -- The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design -- Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model -- Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning -Beer Game as an Example.-Other Applications of Neural Networks -- Using Exponential Kernel for Word Sense Disambiguation -- Independent Component Analysis Filtration for Value at Risk Modelling -- Wind Power Resource Estimation with Deep Neural Networks -- Wavelet Neural Networks for Electricity Load Forecasting – Dealing with Border Distortion and Shift Invariance -- Interactive Two-Level WEBSOM for Organizational Exploration -- Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method -- An Echo State Network with Working Memories for Probabilistic Language Modeling -- Using the Analytic Feature Framework for the Detection of Occluded Objects -- Boltzmann Machines for Image Denoising -- Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval -- Vehicle Plate Recognition Using Improved Neocognitron Neural Network. |
| Record Nr. | UNISA-996465408603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2013 [[electronic resource] ] : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov
| Artificial Neural Networks and Machine Learning -- ICANN 2013 [[electronic resource] ] : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 643 p. 231 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-40728-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Network Theory and Models -- Hessian Corrected Input Noise Models -- Model-Based Clustering of Temporal Data -- Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data -- An Analytical Approach to Single Node Delay-Coupled Reservoir Computing -- Applying General-Purpose Data Reduction Techniques for Fast Time Classification -- Two-Layer Vector Perceptron -- Local Detection of Communities by Neural-Network Dynamics -- The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks -- Group Fused Lasso -- Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays -- Foundations of Online Backpropagation -- GNMF with Newton-Based Methods -- Improving the Associative Rule Chaining Architecture -- Machine Learning and Learning Algorithms -- A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines -- A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets -- A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory -- Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE -- Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions -- Learning with Hard Constraints -- Bidirectional Activation-based Neural Network Learning Algorithm -- A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition -- Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning -- Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain -- On–Line Laplacian One–Class Support Vector Machines -- OSA: One-Class Recursive SVM Algorithm with Negative Sample for Fault Detection.-Brain-Machine Interaction and Bio-inspired Systems EEG Dataset Reduction and Classification Using Wave Atom Transform -- Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network -- Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI) -- A Biologically Inspired Model for the Detection of External and Internal Head Motions -- Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation -- Learning Sensorimotor Transformations with Dynamic Neural Fields -- Cognitive Sciences and Neuroscience -- Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity -- Memory Trace in Spiking Neural Networks -- Attention-Gated Reinforcement Learning in Neural Networks—A Unified View -- Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones -- Robust Principal Component Analysis for Brain Imaging -- Phase Control of Coupled Neuron Oscillators -- Dendritic Computations in a Rall Model with Strong Distal Stimulation -- Modeling Action Verb Semantics Using Motion Tracking -- Evolution of Dendritic Morphologies Using Deterministic and Genotype to Phenotype Mapping -- Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4 -- Pattern Recognition and Classification -- Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging -- Echo State Networks in Dynamic Data Clustering -- Self-Organization in Parallel Coordinates -- A General Image Representation Scheme and Its Improvement for Image Analysis -- Learning Features for Activity Recognition with Shift-Invariant Sparse Coding -- Hearing Aid Classification Based on Audiology Data -- BLSTM-RNN Based 3D Gesture Classification -- Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data -- A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification -- Exploration of Loneliness Questionnaires Using the Self-Organising Map -- An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS -- Feature Weighting by Maximum Distance Minimization -- Training Computationally Efficient Smartphone–Based Human Activity Recognition Models -- A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers -- Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception -- Neural Network Applications in Control and Robotics Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks -- Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control -- Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System -- A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: cedar -- Adaptive Critic Neural Network Solution of Optimal Control Problems Discrete Time Delays -- Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks -- Neuro-Optimal Controller for Robot Manipulators -- Learning to Walk Using a Recurrent Neural Network with Time Delay -- The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design -- Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model -- Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning -Beer Game as an Example.-Other Applications of Neural Networks -- Using Exponential Kernel for Word Sense Disambiguation -- Independent Component Analysis Filtration for Value at Risk Modelling -- Wind Power Resource Estimation with Deep Neural Networks -- Wavelet Neural Networks for Electricity Load Forecasting – Dealing with Border Distortion and Shift Invariance -- Interactive Two-Level WEBSOM for Organizational Exploration -- Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method -- An Echo State Network with Working Memories for Probabilistic Language Modeling -- Using the Analytic Feature Framework for the Detection of Occluded Objects -- Boltzmann Machines for Image Denoising -- Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval -- Vehicle Plate Recognition Using Improved Neocognitron Neural Network. |
| Record Nr. | UNINA-9910484490903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2014 [[electronic resource] ] : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings / / edited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa
| Artificial Neural Networks and Machine Learning -- ICANN 2014 [[electronic resource] ] : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings / / edited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XXV, 852 p. 338 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-319-11179-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Recurrent Networks -- Sequence Learning -- Echo State Networks -- Recurrent Network Theory -- Competitive Learning and Self-Organisation.- Clustering and Classification -- Trees and Graphs -- Human-Machine Interaction -- Deep Networks.- Theory -- Optimization -- Layered Networks -- Reinforcement Learning and Action -- Vision -- Detection and Recognition -- Invariances and Shape Recovery -- Attention and Pose Estimation -- Supervised Learning -- Ensembles -- Regression -- Classification -- Dynamical Models and Time Series -- Neuroscience -- Cortical Models -- Line Attractors and Neural Fields -- Spiking and Single Cell Models -- Applications -- Users and Social Technologies -- Demonstrations. |
| Record Nr. | UNISA-996202529403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2014 [[electronic resource] ] : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings / / edited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa
| Artificial Neural Networks and Machine Learning -- ICANN 2014 [[electronic resource] ] : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings / / edited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XXV, 852 p. 338 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-319-11179-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Recurrent Networks -- Sequence Learning -- Echo State Networks -- Recurrent Network Theory -- Competitive Learning and Self-Organisation.- Clustering and Classification -- Trees and Graphs -- Human-Machine Interaction -- Deep Networks.- Theory -- Optimization -- Layered Networks -- Reinforcement Learning and Action -- Vision -- Detection and Recognition -- Invariances and Shape Recovery -- Attention and Pose Estimation -- Supervised Learning -- Ensembles -- Regression -- Classification -- Dynamical Models and Time Series -- Neuroscience -- Cortical Models -- Line Attractors and Neural Fields -- Spiking and Single Cell Models -- Applications -- Users and Social Technologies -- Demonstrations. |
| Record Nr. | UNINA-9910484763103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
INISTA 2019 : 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications : proceedings : Sofia, Bulgaria, 3-5 July 2019 / / edited by Petia Koprinkova-Hristova [and five others] ; sponsored by Institute of Electrical and Electronics Engineers
| INISTA 2019 : 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications : proceedings : Sofia, Bulgaria, 3-5 July 2019 / / edited by Petia Koprinkova-Hristova [and five others] ; sponsored by Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 |
| Descrizione fisica | 1 online resource (337 pages) |
| Disciplina | 006.33 |
| Soggetto topico |
Expert systems (Computer science)
Artificial intelligence |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-7281-1862-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910332514303321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
INISTA 2019 : 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications : proceedings : Sofia, Bulgaria, 3-5 July 2019 / / edited by Petia Koprinkova-Hristova [and five others] ; sponsored by Institute of Electrical and Electronics Engineers
| INISTA 2019 : 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications : proceedings : Sofia, Bulgaria, 3-5 July 2019 / / edited by Petia Koprinkova-Hristova [and five others] ; sponsored by Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 |
| Descrizione fisica | 1 online resource (337 pages) |
| Disciplina | 006.33 |
| Soggetto topico |
Expert systems (Computer science)
Artificial intelligence |
| ISBN | 1-7281-1862-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996577959003316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Innovations in Intelligent Machines-5 [[electronic resource] ] : Computational Intelligence in Control Systems Engineering / / edited by Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain
| Innovations in Intelligent Machines-5 [[electronic resource] ] : Computational Intelligence in Control Systems Engineering / / edited by Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XV, 248 p. 129 illus.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Control engineering Artificial intelligence Computational Intelligence Control and Systems Theory Artificial Intelligence |
| ISBN | 3-662-43370-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Decentralized Fuzzy-Neural Identification and I-Term Adaptive Control of Distributed Parameter Bioprocess Plan -- Error Tolerant Predictive Control based on Recurrent Neural Models -- Advances in Multiple Models based Adaptive Switching Control: from Conventional to Intelligent approaches -- A Computational Intelligence Approach to Software Component Repository Management -- A Soft Computing Approach to Model Human Factors in Air Warfare Simulation System -- Application of Gaussian Processes to the Modelling and Control in Process Engineering -- Computational Intelligence Techniques for Chemical Process Control -- Application of Swarm Intelligence in Fuzzy Entropy based Image Segmentation. |
| Record Nr. | UNINA-9910299759703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||