Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

Sommario

About the Santa Fe Institute , Santa Fe Institute Editorial Board September 1990 , Santa Fe Institute Studies in the Sciences of Complexity , Series Foreword , Foreword , Foreword , Preface , Introduction , The Hopfield Model , Extensions of the Hopfield Model , Optimization Problems , Simple Perceptrons , Multi-Layer Networks , Recurrent Networks , Unsupervised Hebbian Learning , Unsupervised Competitive Learning , Formal Statistical Mechanics of Neural Networks , Statistical Mechanics

Info autore

John A Hertz

Riassunto

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

Dettagli sul prodotto

• Autori: John Hertz, John A Hertz, John A. Hertz, John A. Krogh Hertz, Anders Krogh, Anders S Krogh, Anders S. Krogh, Richard G Palmer, Richard G. Palmer
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.12.2019
• EAN: 9780367091361
• ISBN: 978-0-367-09136-1
• Pagine: 352
• Categoria: Scienze naturali, medicina, informatica, tecnica > Fisica, astronomia > Tematiche generali, enciclopedie