Related Books
Language: en
Pages: 188
Pages: 188
Type: BOOK - Published: 1990 - Publisher: MIT Press
Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the co
Language: en
Pages: 312
Pages: 312
Type: BOOK - Published: 1994 - Publisher: MIT Press
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Ci
Language: en
Pages:
Pages:
Type: BOOK - Published: 2003 - Publisher:
Language: en
Pages: 280
Pages: 280
Type: BOOK - Published: 2016-07-07 - Publisher: World Scientific Publishing Company
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, dia
Language: en
Pages: 752
Pages: 752
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain unders