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Introduction To The Theory Of Neural Computation

Autor John A. Hertz, Anders S. Krogh, Richard G. Palmer
en Limba Engleză Paperback – 24 iun 1991
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.
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Specificații

ISBN-13: 9780201515602
ISBN-10: 0201515601
Pagini: 350
Ilustrații: black & white illustrations
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.41 kg
Ediția:Revised
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Cuprins

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

Descriere

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.