000 | 02602nam a2200289 a 4500 | ||
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001 | vtls000002720 | ||
003 | VRT | ||
005 | 20250102223531.0 | ||
008 | 081202s1997 njua |b 001 0 eng | ||
020 | _a0132610663 | ||
020 | _a0132874679 (international ed.) | ||
035 | _a(UkOxU)UkOxUb13663200 | ||
039 | 9 |
_a201402040109 _bVLOAD _c201004141257 _dmalmash _c200812060940 _dvenkatrajand _c200812020907 _dNoora _y200812020905 _zNoora |
|
050 | 4 |
_aQA76.9 _b.S63J36 1997 |
|
100 | 1 |
_aJang, Jyh-Shing Roger. _925304 |
|
245 | 1 | 0 |
_aNeuro-fuzzy and Soft Computing : _bA Computational Approach to Learning and Machine Intelligence / _cJyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani. |
260 |
_aUpper Saddle River, N.J. : _bPrentice Hall International, _cc1997. |
||
300 |
_axxvi, 614 p. : _bill. ; _c24 cm. |
||
440 | 0 |
_aMATLAB curriculum series _925305 |
|
504 | _aIncludes bibliographical references and index. | ||
505 | _a1. 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. | ||
520 | _aIntended 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. | ||
650 | 0 |
_aNeural networks (Computer science) _92384 |
|
650 | 0 |
_aFuzzy systems. _925306 |
|
650 | 0 |
_aSoft computing. _922398 |
|
942 |
_2lcc _n0 _cBK |
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999 |
_c10459 _d10459 |