Haykin, Simon
Neural Networks and Learning Machines Simon Haykin - 3rd - Delhi, India Pearson 2016 - xxiv,918 Pages 17x24 cm PB - Always Learning. .
Include Bibliography, Glossary and Index.
Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists.
Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.
9789332570313
Neural networks (Computer science)
Adaptive filters
006.32
Neural Networks and Learning Machines Simon Haykin - 3rd - Delhi, India Pearson 2016 - xxiv,918 Pages 17x24 cm PB - Always Learning. .
Include Bibliography, Glossary and Index.
Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists.
Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.
9789332570313
Neural networks (Computer science)
Adaptive filters
006.32