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 | |
---|---|---|---|---|---|---|---|
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
Browsing Calcutta shelves Close shelf browser (Hides shelf browser)
No cover image available | ||||||||
006.3 KAP Artificial intelligence / | 006.3 KAS Future directions for intelligent systems and information sciences : | 006.3 KEC Learning and soft computing : | 006.3 KEC Learning and soft computing : | 006.3 KEC Learning and soft computing : | 006.3 KEN Swarm intelligence / | 006.3 KEN Swarm intelligence |
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.
There are no comments on this title.
Log in to your account to post a comment.