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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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Type 2 Fuzzy Neural Networks and Their Applications

, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students;

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Computational Intelligence

the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Fuzzy Neural Networks for Real Time Control Applications

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Fuzzy Neural Intelligent Systems

of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems;

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

on the screen; real simulation experiments then execute immediately.Neural Networks and Fuzzy-Logic Control introduces a;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;

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Intelligent Adaptive Control: Industrial Applications

application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.;

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Artificial Intelligence for Smarter Power Systems

book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy;

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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and;

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Fuzzy Logic and Neural Networks

applications. Extensive and carefully selected references is an invaluable resource for further study of fuzzy logic and neural networks. Each chapter;

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Prediction of Software Reliability Using Neural Network & Fuzzy Logic

real-time control, military, and operating system applications. A set of fuzzy rules were also developed to model the dynamics of the software;

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Artificial Neural Networks

language, heart disease diagnosis utilizing hybrid fuzzy wavelet neural network, and hybrid neural network architecture for online learning;

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Neural Network Analysis, Architectures and Applications

multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Fuzzy Control Systems

considers current applications of fuzzy control systems. This book should be required reading for researchers, practitioners, and students;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;

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Understanding Neural Networks And Fuzzy Logic

presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation;

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