Introduction to the Theory of Neural Computation

Informationen zum Autor John A Hertz Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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

Product details

• Authors: John Hertz, John A. Hertz, John A. Krogh Hertz, John Krogh Hertz, Hertz John A., Anders Krogh, Anders S. Krogh, Krogh Anders S., Richard Palmer, Richard G. Palmer, Palmer Richard G.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 03.06.1991
• EAN: 9780201515602
• ISBN: 978-0-201-51560-2
• No. of pages: 352
• Dimensions: 150 mm x 230 mm x 25 mm
• Series: Santa Fe Institute Series
• Subjects: Education and learning > Teaching preparation > Vocational needs; Natural sciences, medicine, IT, technology > Physics, astronomy > General, dictionaries; COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems