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An Introduction to Neural Networks [Paperback]

Kevin Gurney
4.2 out of 5 stars  See all reviews (4 customer reviews)
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Product details

  • Paperback: 234 pages
  • Publisher: CRC Press (5 Aug 1997)
  • Language English
  • ISBN-10: 1857285034
  • ISBN-13: 978-1857285031
  • Product Dimensions: 23.3 x 15.6 x 1.5 cm
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Bestsellers Rank: 375,690 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Kevin Gurney
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Product Description

Product Description

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

About the Author

Gurney; K. University of Sheffield, UK,

Inside This Book (Learn More)
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The term "Neural networks" is a very evocative one. Read the first page
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Most Helpful Customer Reviews
50 of 50 people found the following review helpful
By A Customer
Format:Paperback
Most introductory books and articles I've found on Neural Networks expect prior knowledge in statistics and mathematics. They also tend to explain them in terms of a particular problem area or application (often before they have explained neural networks themselves - which is really confusing...:-)).

This book, on the other hand, explains all the concepts and background to Neural Networks in detail and explains the mathematics and application leading on from this. Which means if you are not used to reading mathematical formulae you can still get to grips with all the material, but also you'll get a more balanced view and understanding of design and application, in statistical, biological, physcal, and engineering contexts...

It's the best printed introduction to Neural Networks that I have found so far.

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24 of 26 people found the following review helpful
Life saver 7 Feb 2001
Format:Paperback
I'm doing a course on Neural Networks as part of my MSc Computer Science at Birkbeck College, London. I was baffled until I started reading this. The material isn't that difficult but this is the first book I have found that actually explains things.
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1 of 1 people found the following review helpful
Excellent - buy it! 13 May 2007
Format:Paperback|Amazon Verified Purchase
This, well structured book, is the first one that I have read on neural networks.

It is extemely well written. As promised, the author takes great care to explain any scary Maths before we have to deal with it. For me, the topic is very complex and it felt like the author 'held my hand as the plane took off' (...into the 5th dimension and beyond)!
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