Models of Neural Networks I
By: edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten
Contributors: Hemmen, J. Leo; Schulten, K. (Klaus)
Edition: Second Updated edition.
Series: Physics of Neural Networks, 0939-3145; Physics of neural networks
Publisher: Springer Berlin Heidelberg
Published: 1995
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 355
ISBN-13: 9783642798146
Description: This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks.