×

Uh-oh, it looks like your Internet Explorer is out of date.

For a better shopping experience, please upgrade now.

Theory of Neural Information Processing Systems
     

Theory of Neural Information Processing Systems

by A. C. C. Coolen, R. Kuhn, P. Sollich, R. Kuehn
 

See All Formats & Editions

This interdisciplinary graduate text gives a full, explicit, coherent and up-to-date account of the modern theory of neural information processing systems and is aimed at student with an undergraduate degree in any quantitative discipline (e.g. computer science, physics, engineering, biology, or mathematics). The book covers all the major theoretical developments

Overview

This interdisciplinary graduate text gives a full, explicit, coherent and up-to-date account of the modern theory of neural information processing systems and is aimed at student with an undergraduate degree in any quantitative discipline (e.g. computer science, physics, engineering, biology, or mathematics). The book covers all the major theoretical developments from the 1940s tot he present day, using a uniform and rigorous style of presentation and of mathematical notation. The text starts with simple model neurons and moves gradually to the latest advances in neural processing. An ideal textbook for postgraduate courses in artificial neural networks, the material has been class-tested. It is fully self contained and includes introductions to the various discipline-specific mathematical tools as well as multiple exercises on each topic.

Product Details

ISBN-13:
9780198530244
Publisher:
Oxford University Press, USA
Publication date:
09/01/2005
Pages:
592
Product dimensions:
9.50(w) x 6.60(h) x 1.30(d)

Related Subjects

Meet the Author

King's College, London

King's College, London

King's College, London

Customer Reviews

Average Review:

Post to your social network

     

Most Helpful Customer Reviews

See all customer reviews