Foundations of Neuro-Fuzzy Systems

Foundations of Neuro-Fuzzy Systems
Author: Detlef Nauck
Publisher:
Total Pages: 328
Release: 1997-09-19
Genre: Computers
ISBN:

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Foundations of Neuro-Fuzzy Systems reflects the current trend in intelligent systems research towards the integration of neural networks and fuzzy technology. The authors demonstrate how a combination of both techniques enhances the performance of control, decision-making and data analysis systems. Smarter and more applicable structures result from marrying the learning capability of the neural network with the transparency and interpretability of the rule-based fuzzy system. Foundations of Neuro-Fuzzy Systems highlights the advantages of integration making it a valuable resource for graduate students and researchers in control engineering, computer science and applied mathematics. The authors' informed analysis of practical neuro-fuzzy applications will be an asset to industrial practitioners using fuzzy technology and neural networks for control systems, data analysis and optimization tasks.


Foundations of Neuro-Fuzzy Systems
Language: en
Pages: 328
Authors: Detlef Nauck
Categories: Computers
Type: BOOK - Published: 1997-09-19 - Publisher:

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Foundations of Neuro-Fuzzy Systems reflects the current trend in intelligent systems research towards the integration of neural networks and fuzzy technology. T
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
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 Neuro-fuzzy System
Language: en
Pages:
Authors: Detlef Nauck
Categories: Fuzzy Sistemleri
Type: BOOK - Published: 1997 - Publisher:

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Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases
Language: en
Pages: 489
Authors: Oscar Cordon
Categories: Computers
Type: BOOK - Published: 2001-07-13 - Publisher: World Scientific

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In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explore