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Neuro-Fuzzy and Soft Computing Jyh-Shing Roger Jang

Neuro-Fuzzy and Soft Computing By Jyh-Shing Roger Jang

Neuro-Fuzzy and Soft Computing by Jyh-Shing Roger Jang


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Summary

A comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. Emphasis is placed on theoretical aspects of covered methodologies, and on observations and verifications of various applications in practice.

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Neuro-Fuzzy and Soft Computing Summary

Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence: United States Edition by Jyh-Shing Roger Jang

Intended for use in courses on computational intelligence at either the college senior or first-year graduate level.

This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence. The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in practice.

Table of Contents



1. Introduction to Neuro-Fuzzy and Soft Computing.

I. FUZZY SET THEORY.

2. Fuzzy Sets.
3. Fuzzy Rules and Fuzzy Reasoning.
4. Fuzzy Inference Systems.

II. REGRESSION AND OPTIMIZATION.

5. Least-Squares Methods for System Identification.
6. Derivative-Based Optimization.
7. Derivative-Free Optimization.

III. NEURAL NETWORKS.

8. Adaptive Networks.
9. Supervised Learning Neural Networks.
10. Learning from Reinforcement.
11. Unsupervised Learning and Other Neural Networks.

IV. NEURO-FUZZY MODELING.

12. ANFIS: Adaptive-Networks-based Fuzzy Inference Systems.
13. Coactive Neuro-Fuzzy Modeling: Towards Generalized ANFIS.

V. ADVANCED NEURO-FUZZY MODELING.

14. Classification and Regression Trees.
15. Data Clustering Algorithms.
16. Rulebase Structure Identification.

VI. NEURO-FUZZY CONTROL.

17. Neuro-Fuzzy Control I.
18. Neuro-Fuzzy Control II.

VII. ADVANCED APPLICATIONS.

19. ANFIS Applications.
20. Fuzzy-Filtered Neural Networks.
21. Fuzzy Theory and Genetic Algorithms in Game Playing.
22. Soft Computing for Color Recipe Prediction.

Additional information

CIN0132610663G
9780132610667
0132610663
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence: United States Edition by Jyh-Shing Roger Jang
Used - Good
Hardback
Pearson Education (US)
19961016
648
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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