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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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Complexity and Evolution of Dissipative Systems

This book focuses on the dynamic complexity of neural, genetic networks, and reaction diffusion systems. The author shows that all robust;

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Principal Component Analysis Networks and Algorithms

algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations;

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Neural Networks Modeling and Control

>Provide in-depth analysis of neural control models and methodologiesPresents a comprehensive review of common problems in real;

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Neural Networks for Cooperative Control of Multiple Robot Arms

neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It;

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Neural Networks and Qualitative Physics

physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, regarded as dynamical systems;

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Neural Networks And Qualitative Physics

physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, regarded as dynamical systems;

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Power Converters and Ac Electrical Drives With Linear Neural Networks

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application;

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Biomat 2008

mathematical biology, biological physics, evolution biology and bioinformatics. It contains new results on the mathematical analysis of reaction;

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Numerical Bifurcation Analysis for Reaction-Diffusion Equations

This monograph is the first to provide readers with numerical tools for a systematic analysis of bifurcation problems in reaction-diffusion;

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Power Converters And Ac Electrical Drives With Linear Neural

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application;

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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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Artificial Neural Networks

. Section 4 focuses on the application of artificial neural networks in modeling and control applications, describing: course control of under;

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Chemistry In Motion

proper way, it is not only possible to discover a variety of new phenomena, in which chemical reactions are coupled with diffusion, but also to;

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Analysis and Design of Delayed Genetic Regulatory Networks

discrete-time GRNs, etc. In addition, the solvability of stability analysis, control and estimation problems involving delayed GRNs are addressed;

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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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Type 2 Fuzzy Neural Networks and Their Applications

of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making;

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Spatial Dynamics and Pattern Formation in Biological Populations

diffusion and time delay. A Chapter is devoted for the study of Brain Dynamics (Neural systems in space and time). Significant advances made;

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Nonlinear Pinning Control of Complex Dynamical Networks

along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for;

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Network Models for Control and Processing

related fields. These cover: control processes, modelling features and operations of biological neural networks and neurons, simulation;

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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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Robot Control using an Artificial Neural Network

artificial neural network type were considered. An introduction to learning and control structures using artificial neural networks were given. These;

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Advanced Models of Neural Networks

with neural networks and dynamical systems theory.;

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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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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise;

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