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Iterative learning control for nonlinear time-delay system / / Jianming Wei, Hong Wang, and Fang Liu
| Iterative learning control for nonlinear time-delay system / / Jianming Wei, Hong Wang, and Fang Liu |
| Autore | Wei Jianming |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (185 pages) |
| Disciplina | 629.8 |
| Soggetto topico |
Intelligent control systems
Machine learning Control intel·ligent Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6317-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- About This Book -- Contents -- 1 Introduction -- 1.1 Background -- 1.2 Research Status of ILC -- 1.2.1 Contraction Mapping Theorem Based Classical ILC -- 1.2.2 Composite Energy Function Based Adaptive ILC -- 1.2.3 2-D Theory Based ILC -- 1.3 Main Contents of the Book -- References -- 2 AILC of Parameterized Nonlinear Time-Delay Systems -- 2.1 Introduction -- 2.2 Problem Formulation and Preliminaries -- 2.2.1 Problem Formulation -- 2.2.2 Dead-Zone Characteristic -- 2.3 AILC Scheme Design -- 2.4 Stability Analysis -- 2.5 Simulation Analysis -- 2.5.1 Verification of the AILC Scheme -- 2.5.2 Comparison Simulation: Adaptive Control -- 2.6 Summary and Comments -- References -- 3 NN AILC of Nonlinear Time-Delay Systems -- 3.1 Introduction -- 3.2 Problem Formulation and Preliminaries -- 3.2.1 Problem Formulation -- 3.2.2 RBF Neural Network -- 3.3 RBF NN AILC Design -- 3.4 Stability Analysis -- 3.5 Simulation Analysis -- 3.5.1 Verification of the RBF NN AILC Scheme -- 3.5.2 Comparison Simulation: Adaptive NN Control -- 3.6 Summary and Comments -- References -- 4 AILC of Nonlinear Time-Delay Systems with Unknown Control Direction -- 4.1 Introduction -- 4.2 Problem Formulation and Preliminaries -- 4.2.1 Problem Formulation -- 4.2.2 Backlash-Like Hysteresis Nonlinearity -- 4.2.3 Nussbaum Gain Method -- 4.3 Nussbuam Gain-Based AILC Scheme Design -- 4.4 Stability Analysis -- 4.5 Simulation Analysis -- 4.5.1 Verification of Nussbuam Gain-Based AILC Scheme -- 4.5.2 Comparison Simulation: Nussbuam Gain-Based Adaptive NN Control -- 4.6 Summary and Comments -- References -- 5 Observer-Based AILC of Nonlinear Time-Delay Systems -- 5.1 Introduction -- 5.2 Problem Formulation and Preliminaries -- 5.2.1 Problem Formulation -- 5.2.2 Input Saturation Nonlinearity -- 5.2.3 Schur Complementary Lemma.
5.3 State Observer-Based AILC Design and Stability Analysis -- 5.3.1 State Observer Design -- 5.3.2 NN AILC Scheme Design -- 5.3.3 Stability Analysis -- 5.3.4 Simulation Analysis -- 5.4 Error Observer-Based AILC Design and Stability Analysis -- 5.4.1 Error Observer-Based AILC Scheme Design -- 5.4.2 Stability Analysis -- 5.4.3 Simulation Analysis -- 5.5 Summary and Comments -- References -- 6 Observer-Based AILC Design for Robotic Manipulator -- 6.1 Introduction -- 6.2 Problem Formulation and Preliminaries -- 6.2.1 Problem Formulation -- 6.2.2 'GL' Matrix and Operators -- 6.3 States Observer Design -- 6.4 AILC Design -- 6.5 Simulation Analysis -- 6.6 Summary and Comments -- References. |
| Record Nr. | UNINA-9910637724903321 |
Wei Jianming
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| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Kernel Ridge Regression in Clinical Research / / by Ton J. Cleophas, Aeilko H. Zwinderman
| Kernel Ridge Regression in Clinical Research / / by Ton J. Cleophas, Aeilko H. Zwinderman |
| Autore | Cleophas Ton J. |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina |
780
610.727 |
| Soggetto topico |
Biometry
Clinical medicine - Research Statistics Data mining Big data Biostatistics Clinical Research Applied Statistics Data Mining and Knowledge Discovery Big Data Dades massives Aprenentatge automàtic Investigació mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-10717-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Traditional Kernel Regression -- 2. Kernel Ridge Regression -- 3. Optimal Scaling vs Kernel Ridge Regression -- 4. Examples of Published Kernel Ridge Regression Research So Far -- 5. Some Terminology -- 6. Effect of Being Blind on Age/Sex Adjusted Mortality Rate, 11630 Patients, Traditional Regressions vs Kernel Ridge Regression -- 7. Effect of Old Treatment on New Treatment, 35 patients, Traditional Regression vs Kernel Ridge Regression -- 8. Effect of Gene Expressions on Drug Efficacy, 250 Patients, Traditional Regressions vs Kernel Ridge Regression -- 9. Effect of Gender, Treatment, and Their Interaction on Numbers of Paroxysmal Atrial Fibrillations, 40 Patients, Traditional Regressions vs Kernel Ridge Regression -- 10. Effect of Laboratory Predictors on Septic Mortality, 200 Patients, Traditional Regressions vs Kernel Ridge Regression -- 11. Effect of Times on C-reactive Protein Levels, 18 Months, Traditional Regressions vs Kernel Ridge Regression -- 12. Effect of Different Dosages of Prednisone and Beta-agonist on Peakflow, 78 Patients, Traditional Regressions vs Kernel Ridge Regression -- 13. Effect of Race, Age, and Gender on Physical Strength, 60 Patients, Traditional Regressions vs Kernel Ridge Regression -- 14. Effect of Treatment, Age, Gender, and Co-morbidity on Hours of Sleep, 20 Patients, Traditional Regressions vs Kernel Ridge Regression -- 15. Effect of Counseling Frequency and Non-compliance on Monthly Stools, 35 Constipated Patients, Traditional Regressions vs Kernel Ridge Regression -- 16. Effect of Treatment Modality, Counseling, and Satisfaction with Doctor on Quality of Life, 450 Patients, Traditional Regressions vs Kernel Ridge Regression -- 17. Effect of Department and Patient Age Class on Risk of Falling out of Bed, 55 Patients, Traditional Regressions vs Kernel Ridge Regression -- 18. Effect of Diet, Gender, Sport, and Medical Treatment on LDL Cholesterol Reduction, 953 Patients, Traditional Regressions vs Kernel Ridge Regression -- 19. Effect of Gender, Age, Weight, and Height on Measured Body Surface, 90 Patients, Traditional Regressions vs Kernel Ridge Regression -- 20. Effect of General Practitioners' Age, Education, and Type of Practice on Lifestyle Advise Given, 139 Physicians, Traditional Regressions vs Kernel Ridge Regression -- 21. Effect of Treatment, Psychological, and Social Scores on numbers of Paroxysmal Atrial Fibrillations, 50 Patients, Traditional Regressions vs Kernel Ridge Regression -- 22. Effects of Various Predictors on Numbers of Convulsions, 3390 Patients, Traditional vs Kernel Ridge Regression -- 23. Effects of Foods Served on Breakfast Taken, 252 Persons, Traditional Regressions and Multinomial Logistic Regression vs Kernel Ridge Regression -- 24. Effect on Anorexia of Personal Factors, 217 Persons, Traditional Regression vs Kernel Ridge Regression -- 25. Effect of Physical Exercise, Calorie Intake, and Their Interaction, on Weight Loss, 64 Patients, Traditional Regressions vs Kernel Ridge Regression -- 26. Summaries. |
| Record Nr. | UNINA-9910595027403321 |
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Cleophas Ton J.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning and Intelligent Optimization [[electronic resource] ] : 15th International Conference, LION 15, Athens, Greece, June 20–25, 2021, Revised Selected Papers / / edited by Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas
| Learning and Intelligent Optimization [[electronic resource] ] : 15th International Conference, LION 15, Athens, Greece, June 20–25, 2021, Revised Selected Papers / / edited by Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (423 pages) |
| Disciplina | 006.31 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Mathematics - Data processing
Computer engineering Computer networks Algorithms Computational Mathematics and Numerical Analysis Computer Engineering and Networks Aprenentatge automàtic |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-92121-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464507203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Learning and Intelligent Optimization : 15th International Conference, LION 15, Athens, Greece, June 20–25, 2021, Revised Selected Papers / / edited by Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas
| Learning and Intelligent Optimization : 15th International Conference, LION 15, Athens, Greece, June 20–25, 2021, Revised Selected Papers / / edited by Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (423 pages) |
| Disciplina | 006.31 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Mathematics - Data processing
Computer engineering Computer networks Algorithms Computational Mathematics and Numerical Analysis Computer Engineering and Networks Aprenentatge automàtic |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-92121-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910512187303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning in the Absence of Training Data [[electronic resource] /] / by Dalia Chakrabarty
| Learning in the Absence of Training Data [[electronic resource] /] / by Dalia Chakrabarty |
| Autore | Chakrabarty Dalia |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 006.31015195 |
| Soggetto topico |
Statistics
Data mining Probabilities Statistical Theory and Methods Bayesian Inference Data Mining and Knowledge Discovery Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability Theory Aprenentatge automàtic Mètodes estadístics Estadística bayesiana |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-31011-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Bespoke Learning to generate originally-absent training data -- 2 Forecasting by Learning Evolution-Driver - Application to Forecasting New COVID19 Infections -- 3 Potential to Density - Application to Learning Galactic Gravitational Mass Density -- 4 Bespoke Learning in Static Systems - Application to Learning Sub-surface Material Density Function -- 5 Bespoke Learning of Output using Inter-Network Distance - Application to Haematology-Oncology -- A Bayesian inference by posterior sampling using MCMC. |
| Record Nr. | UNINA-9910734827103321 |
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Chakrabarty Dalia
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines [[electronic resource] ] : Theory, Algorithms and Applications / / edited by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty
| Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines [[electronic resource] ] : Theory, Algorithms and Applications / / edited by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XIV, 305 p. 83 illus., 58 illus. in color.) |
| Disciplina | 512.3 |
| Collana | Industrial and Applied Mathematics |
| Soggetto topico |
Algebraic fields
Polynomials Mathematical optimization Quantitative research Machine learning Pattern recognition systems Python (Computer program language) Field Theory and Polynomials Optimization Data Analysis and Big Data Machine Learning Automated Pattern Recognition Python Aprenentatge automàtic Algorismes Funcions de Kernel Python (Llenguatge de programació) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6553-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to SVM -- Basics of SVM Method and Least Squares SVM -- Fractional Chebyshev Kernel Functions: Theory and Application -- Fractional Legendre Kernel Functions: Theory and Application -- Fractional Gegenbauer Kernel Functions: Theory and Application -- Fractional Jacobi Kernel Functions: Theory and Application -- Solving Ordinary Differential Equations by LS-SVM -- Solving Partial Differential Equations by LS-SVM -- Solving Integral Equations by LS-SVR -- Solving Distributed-Order Fractional Equations by LS-SVR -- GPU Acceleration of LS-SVM, Based on Fractional Orthogonal Functions -- Classification Using Orthogonal Kernel Functions: Tutorial on ORSVM Package. |
| Record Nr. | UNINA-9910682554503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning
| Machine learning |
| Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Apprentissage automatique Aprenentatge automàtic Intel·ligència artificial |
| Soggetto genere / forma | Revistes electròniques. |
| ISSN | 1573-0565 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910145627403321 |
| Boston, : Kluwer Academic Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning algorithms : adversarial robustness in signal processing / / Fuwei Li, Lifeng Lai, Shuguang Cui
| Machine learning algorithms : adversarial robustness in signal processing / / Fuwei Li, Lifeng Lai, Shuguang Cui |
| Autore | Li Fuwei |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (109 pages) |
| Disciplina | 005.1 |
| Collana | Wireless Networks |
| Soggetto topico |
Computer algorithms
Machine learning Algorismes computacionals Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-16375-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910631086403321 |
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Li Fuwei
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning algorithms : adversarial robustness in signal processing / / Fuwei Li, Lifeng Lai, Shuguang Cui
| Machine learning algorithms : adversarial robustness in signal processing / / Fuwei Li, Lifeng Lai, Shuguang Cui |
| Autore | Li Fuwei |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (109 pages) |
| Disciplina | 005.1 |
| Collana | Wireless Networks |
| Soggetto topico |
Computer algorithms
Machine learning Algorismes computacionals Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-16375-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996499870503316 |
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Li Fuwei
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine Learning and Big Data Analytics [[electronic resource] ] : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 / / edited by Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra
| Machine Learning and Big Data Analytics [[electronic resource] ] : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 / / edited by Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra |
| Autore | Misra Rajiv |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (552 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
OmerRana
RajarajanMuttukrishnan VeeravalliBharadwaj KesswaniNishtha MishraPriyanka |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Mathematical statistics
Machine learning Quantitative research Artificial intelligence—Data processing Mathematical Statistics Machine Learning Data Analysis and Big Data Data Science Aprenentatge automàtic Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-15175-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- A Comprehensive analysis on Mobile Edge Computing: joint offloading and resource allocation perspective -- Finding Significant Project Issues with Machine Learning -- Prediction of Heart Disease using various Data Analysis and Machine learning Techniques -- Artificial Intelligence: Recent Trends, Opportunities and Challenges in Real-World Scenarios -- Bilingual documents text line extraction using Conditional GANs -- Performance Comparison of YOLO Variants for Object Detection in Drone Based Imagery -- A Microservice Architecture with Load Balancing Mechanism in Cloud Environment -- An IoT Application for Detection and Monitoring of Manhole -- Resource Allocation in 5G & Beyond Edge-Slice Networking using Deep Reinforcement Learning -- The Important Influencing Factors in Machine Translation -- Damaged units return Investigation in Printer producing Industry utilizing Big Data -- Colorization of Grayscale Images: An Overview -- Evolutionary Approaches Towards Traditional to Deep Learning Based Chatbot -- Analysis of Machine Learning Algorithms for Detection of Cyber Bullying on Social Networks -- Sentiment Analysis of Political Tweets for Israel using Machine Learning -- A Novel Approach for Real-time Vehicle Re-identification using Content-based Image Retrieval with Relevance Feedback -- Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles -- RevCode for NLP in Indian Languages -- Application for Mood Detection of Students Using TensorFlow and Electron JS -- By Using CNN Technique and Webcam to Identify Face Mask Violation -- A Review on Internet of Things based Cloud Architecture and Its Application -- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods -- HRescue: A Modern ML approach for Employee Attrition Prediction -- Using Machine Learning to Detect Botnets in Network Traffic -- Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-agent Reinforcement Learning -- Virus Texture Classification using Genetic Algorithm and Pre-trained Convolutional Neural Networks -- Fog Computing enabled Internet of Things for resource optimization -- Network Media Content Model in the era of Smaft Devices -- Sentimental Analysis of Stock Market via Twitter -- Detection and Classification of Tumor Tissues in Colorectal Cancer using Pathology Images -- Challenges encountered in the implementation of machine learning in the healthcare industry -- Performance Evaluation of Deep Learning Architectures for Recognition of Moisture in Dried Coconut Copra -- Training Generative Adversarial Networks(GANs) over Parameter Server and Worker Node Architecture -- Handwritten Digit Recognition using Neural Network with Gabor Filter for Information Fusion -- FAFOC: Fog Based Energy Efficient Clustering Technique for Wireless Sensor Networks -- Evaluation of Supervised Classifiers for Fake News Detection using Twitter Dataset -- Analysis of Pest Recognition using Lightweight CNN -- Early Prediction of Alzheimer Disease Using Ensemble Learning Models -- Cattle Identification from Muzzle Print Image Pattern Using Hybrid Feature Descriptors and SVM -- Evaluate and Detection of Breast Cancer using Data Mining Models -- Lung Cancer Disease Prediction Using Machine Learning Techniques -- Video to Text Generation Using Sentence Vector and Skip Connections -- Machine Learning Techniques for COVID-19 pandemic updates for Analysis, Visualization and Prediction system -- Design and CFD Analysis of Drone Thrust with Duct -- Index. |
| Record Nr. | UNINA-9910729895203321 |
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Misra Rajiv
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
-
Aprenentatge automàtic
(101)
- Machine learning (64)
- Machine Learning (17)
- Processament de dades (17)
- Intel·ligència artificial (15)