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Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence
Material type:
TextLanguage: English Publication details: Noida: Pearson, 2018. Description: xvii,614p.; 21cmsISBN: 9789332549883Subject(s): Computer science -- Neural networks | Computer science -- Soft computingDDC classification: 006.3 J33
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Dr. S. R. Ranganathan Library General Stacks | 006.3 J33 (Browse shelf(Opens below)) | 1 | Available | 1528 | ||
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Dr. S. R. Ranganathan Library General Stacks | 006.3 J33:1 (Browse shelf(Opens below)) | 2 | Available | 1529 | ||
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Books
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Dr. S. R. Ranganathan Library General Stacks | 006.3 J33:2 (Browse shelf(Opens below)) | 3 | Available | 1530 | ||
| Textbook | Dr. S. R. Ranganathan Library Textbook | Text Book | 006.3 J33:3 (Browse shelf(Opens below)) | 4 | Not For Loan | 1531 | |
Reference
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Dr. S. R. Ranganathan Library Reference | Reference | 006.3 J33:4 (Browse shelf(Opens below)) | 5 | Not For Loan | 1532 |
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| 005.133 M1584, 2:9 Python for data analysis: data wrangling with pandas, numpy, and ipython | 005.133 M63, 4:4 Programming python | 005.1335 H81.1, 9:7 Core java | 006.3 J33:4 Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence | 006.3 S63, 2:4 Neural networks, fuzzy systems, and evolutionary algorithms: synthesis and applications | 006.31 G47, 2:2 Hands-on machine learning with scikit-Learn, keras, and tensor flow : concepts, tools, and techniques to build intelligent systems | 006.312 R94, 2:15 Data analytics: models and algorithms for intelligent data analysis |
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.