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Stability Analysis of Neural Networks

mainly focuses on the qualitative stability analysis of continuous-time as well as discrete-time neural networks with delays by presenting the;

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Stability Analysis and State Estimation of Memristive Neural Networks

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications;

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Advances in Neural Networks- ISNN 2013

, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics;

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Advances in Neural Networks- ISNN 2013

, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics;

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Advanced Models of Neural Networks

This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by;

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Fuzzy Neural Networks for Real Time Control Applications

and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its;

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Stability and Synchronization Control of Stochastic Neural Networks

This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the;

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Stability and Synchronization Control of Stochastic Neural Networks

This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the;

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Cellular Neural Networks

of the book is to present the recent results in the basic concepts of dynamics, stability analysis and CNN models of some partial differential;

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Progress in Neural Networks

neural networks, as well as in modelling, analysis, design, and development of neural networks in software and hardware areas. Contributions from;

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Statistical Learning Using Neural Networks

, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference;

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Statistical Learning Using Neural Networks

, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference;

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Recurrent Neural Networks for Prediction

Neural Networks for Prediction offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and;

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Complex-valued Neural Networks

neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Neural Network Control of Nonlinear Discrete-Time Systems

-Time Systems fosters an understanding of neural network controllers and explains how to build them using detailed derivations, stability;

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Neural Network Models

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way;

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Neural Networks for Applied Sciences and Engineering

. Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic;

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Neural Network Analysis, Architectures and Applications

Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter;

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Linear Systems Theory

problem sets at the end of each chapter Illustrative examples in all the chapters An introduction and analysis of new stability concepts;

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New Developments in Computer Networks

This new book presents and discusses current research in the study of computer networks. Topics discussed include an in-depth analysis;

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Analysis and Control of Coupled Neural Networks with Reaction Diffusion Terms

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing;

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Neural Networks and Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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Neural Networks And Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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