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Cellular Neural Networks, Multi-scroll Chaos And Synchronization

design principles. This perspective is the basis of the three cornerstones of this book: cellular neural networks, chaos and synchronization;

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Chaos, CNN, Memristors and Beyond

neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata;

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Chaos & Complexity

This book presents new international research on artificial life, cellular automata, chaos theory, cognition, complexity theory;

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Chaos & Complexity

This book presents new international research on artificial life, cellular automata, chaos theory, cognition, complexity theory;

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Chaos & Complexity Research Compendium

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation;

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Progress in Chaos Complexity Research

This book presents new leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory;

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Chaos & Complexity Research Compendium

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation;

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Chaos & Complexity Reasearch Compendium

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation;

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New Research on Chaos & Complexity

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation;

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Developments in Chaos & Complexity Research

This book presents the latest leading-edge international research on artificial life, cellular automata, chaos theory, cognition;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and 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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Unconventional Computation and Natural Computation

computing; physarum computing; computation in hyperbolic spaces; collision-based computing; cellular automata; neural computation; evolutionary;

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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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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Synchronization of Multi-Agent Systems in the Presence of Disturbances and Delays

This monograph explores the synchronization of large-scale, multi-agent dynamical systems in the presence of disturbances, delays, and time;

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Fractional Order Control and Synchronization of Chaotic Systems

, chaos control, chaos synchronization, jerk circuits, fractional chaotic systems with hidden attractors, neural network, fuzzy logic controllers;

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Handbook on Neural Information Processing

applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria;

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Statistical Mechanics of Neural Networks

chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have;

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Cellular Automata

submissions. They are organized in topical sections named: theoretical results on cellular automata; cellular automata dynamics and synchronization;

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The Relevance of the Time Domain to Neural Network Models

synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the;

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Neural Networks for Applied Sciences and Engineering

, this book fills the gap in the market for neural networks for multi-dimensional scientific data, and relates neural networks to statistics;

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Signal Processing for Mobile Communications Handbook

adaptive equalization, multi-user detection, DSP for OFDM, synchronization, and more. Emerging techniques such as neural networks, Markov Chain;

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Resource Allocation in Heterogeneous Multi-hop Cellular Networks

A novel framework to model the problem of downlink resource allocation in conventional cellular systems and multi-hop cellular networks;

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