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Learning and Soft Computing : support vector machines, neural networks, and fuzzy logic models / Vojislav Kecman

By: Contributor(s): Material type: TextTextPublisher number: :Donated from Prof Madan GopalPublication details: Cambridge, Mass. : MIT Press, 2001.Description: xxxii, 541 pages 24cmISBN:
  • 8129705958
Subject(s): DDC classification:
  • 006.3 KEC
Contents:
1. Learning and soft computing : rationale, motivations, needs, basics -- 2. Support vector machines -- 3. Single-layer networks -- 4. Multilayer perception -- 5. Radial basis function networks -- 6. Fuzzy logic systems -- 7. Case studies -- 8. Basic nonlinear optimization methods -- 9. Mathematical tools of soft computing.
Summary: This textbook provides a thorough introduction to the field of learning from experimental data and soft computing
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Item type Current library Call number Status Barcode
Mathematics Departmental Library Mathematics Departmental Library Mathematics Departmental Library 006.3 KEC (Browse shelf(Opens below)) Available M364
Total holds: 0

1. Learning and soft computing : rationale, motivations, needs, basics --
2. Support vector machines --
3. Single-layer networks --
4. Multilayer perception --
5. Radial basis function networks --
6. Fuzzy logic systems --
7. Case studies --
8. Basic nonlinear optimization methods --
9. Mathematical tools of soft computing.

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing

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