Theory of neural information processing systems

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

ISBN 10: 0198530234 / ISBN 13: 9780198530237

Published by Oxford University Press, GB, 2005

About this Item

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative dsicipline, including mathematics, computer science, physics, engineering or biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes on historical background and further reading guide the student into the literature. All mathematical details are included and appendices provide further background material, including probability theory, linear algebra and stochastic processes, making this textbook accessible to a wide audience.

Seller Inventory # LU-9780198530237

Bibliographic Details

• Title: Theory of neural information processing systems
• Publisher: Oxford University Press, GB
• Publication Date: 2005
• Language: English
• ISBN 10: 0198530234
• ISBN 13: 9780198530237
• Binding: Hardback
• Condition: New
• Dimensions: 24.89W x 3.81H x 16.76D centimeters 24.89 centimeters width by 3.81 centimeters height by 16.76 centimeters depth
• Weight: 1173 grams

About this title

Synopsis

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.

About the Author

A.C.C. Coolen is at Professor of Applied Mathematics, Department of Mathematics, King's College, London. R. Kuehn is at Lecturer in Applied Mathematics, Department of Mathematics, King's College, London.