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Qualitative Analysis and Control of Complex Neural Networks with Delays

explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics;

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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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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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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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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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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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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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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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Complex-Valued Neural Networks

This book is the second enlarged and revised edition of the first successful monograph on complex-valued neural networks (CVNNs) published;

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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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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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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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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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Neural Networks for Applied Sciences and Engineering

: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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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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Supervised Learning with Complex-valued Neural Networks

complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This;

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Neural Network Control of Nonlinear Discrete-Time Systems

neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control;

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Artificial Neural Networks

recognition, fraud detection, biometric user authentication (e.g. fingerprint and eye retina recognition), and complex control algorithms (e.g;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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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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MATLAB Deep Learning

complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep;

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