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, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students;
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type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to;
Vergelijkbare producten zoals Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to;
Vergelijkbare producten zoals Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;
Vergelijkbare producten zoals Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and;
Vergelijkbare producten zoals Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS
Vergelijkbare producten zoals Fuzzy Neural Networks for Real Time Control Applications
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;
Vergelijkbare producten zoals Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing;
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monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the;
Vergelijkbare producten zoals New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;
Vergelijkbare producten zoals Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe
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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For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic.The first book of its kind, this text explains how all;
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Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this;
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Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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In this title, fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic;
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Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current;
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neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;
Vergelijkbare producten zoals Computational Intelligence Paradigms
neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;
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machine, machine learning applications, predictive models, fuzzy and recommender systems, recurrent neural networks, spiking neural networks.;
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-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the;
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multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image;
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artificial intelligence, and comprises fuzzy logic, neural networks and probabilistic reasoning techniques. It tries to imitate human reasoning in a;
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of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to;
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range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example;
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, computer-readable notation for matrix operations and differential equations lets users create their own neural networks and fuzzy-logic controllers;
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An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction;
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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new;
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Einde inhoud
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