Neural Network Models
An Analysis
Philippe De Wilde(Author)
Springer (Publisher)
Published on 1. December 1995
Book
Paperback/Softback
IV, 157 pages
978-3-540-19995-3 (ISBN)
Article exhausted; check for reprint
Description
Providing an in-depth treatment of the main topics in neural networks this volume concentrates on multilayer networks and completely connected networks, as well as discussing both analog and digital networks. The central themes are dynamical behaviour, attractors and capacity. Boltzmann machines are also discussed. The subject is developed from scratch and does not use statistical physics. Because the volume adopts a pedagogical approach, explaining all steps in full, the style which the book takes it will appeal to engineers, computer scientists and applied mathematicians. The reader will learn the parameters and results that are most important for the design of neural networks and will be able to critically assess the existing commercial products or design a hardware or software implementation for him- or herself.
More details
Series
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Illustrations
72figs.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
270 gr
ISBN-13
978-3-540-19995-3 (9783540199953)
DOI
10.1007/BFb0034478
Schweitzer Classification
Other editions
New editions

Book
05/1997
2nd Edition
Springer
€53.49
Shipment within 10-15 days
Content
Key concepts in neural networks.- Backpropagation.- Neurons in the brain.- The fundamental system of differential equations.- Synchronous and discrete networks.- Linear capacity.- Capacity from a signal to noise ratio.- Neural networks and Markov chains.