Neural Fuzzy Systems

Neural Fuzzy Systems
Author: Ching Tai Lin
Publisher: Prentice Hall
Total Pages: 824
Release: 1996
Genre: Computers
ISBN:

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Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.


Neural Fuzzy Systems
Language: en
Pages: 824
Authors: Ching Tai Lin
Categories: Computers
Type: BOOK - Published: 1996 - Publisher: Prentice Hall

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Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of
Fuzzy and Neuro-Fuzzy Intelligent Systems
Language: en
Pages: 207
Authors: Ernest Czogala
Categories: Computers
Type: BOOK - Published: 2012-08-10 - Publisher: Physica

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Intelligence systems. We perfonn routine tasks on a daily basis, as for example: • recognition of faces of persons (also faces not seen for many years), • i
Introduction to Neuro-Fuzzy Systems
Language: en
Pages: 300
Authors: Robert Fuller
Categories: Computers
Type: BOOK - Published: 2013-06-05 - Publisher: Springer Science & Business Media

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Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inf
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Language: en
Pages: 581
Authors: Nikola K. Kasabov
Categories: Artificial intelligence
Type: BOOK - Published: 1996 - Publisher: Marcel Alencar

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Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI
Deep Neuro-Fuzzy Systems with Python
Language: en
Pages: 270
Authors: Himanshu Singh
Categories: Computers
Type: BOOK - Published: 2019-11-30 - Publisher: Apress

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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 world. This book simp