Learning and soft computing : support vector machines, neural networks and fuzzy logic models / Vojislav Kecman
Material type: TextPublication details: Cambridge : The MIT Press, 2004Description: xxxii, 541p., 24cmISBN:- 9788129705952
- 006.3 KEC
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Book | Calcutta | 006.3 KEC (Browse shelf(Opens below)) | Available | IIMC-125733 | |||
Book | Calcutta | 006.3 KEC (Browse shelf(Opens below)) | Available | IIMC-125734 | |||
Book | Calcutta | 006.3 KEC (Browse shelf(Opens below)) | Available | IIMC-125735 |
Total holds: 0
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS)enable us to embed structured human knowledge into workable algorithms.
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