Product Details
Introduction to Neural Networks

Introduction to Neural Networks
By K. Gurney

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Product Description

This undergraduate text introduces the fundamentals of neural networks in a gentle but practical fashion with minimal mathematics. It should be of use to students of computer science and engineering, and graduate students in the allied neural


Product Details

  • Amazon Sales Rank: #164206 in Books
  • Published on: 1997-08-05
  • Original language: English
  • Number of items: 1
  • Binding: Paperback
  • 234 pages

Editorial Reviews

From the Back Cover
Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. The author tackles virtually all aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods; associative memory and Hopfield nets; and self-organization and feature maps. The book provides a concrete focus through several real-world examples. This feature broadens the book's audience to include both students and professionals in cognitive science, psychology, and computer science as well as those involved in the design, construction, and management of networks.

About the Author
Gurney; K. University of Sheffield, UK,


Customer Reviews

The clearest, broadest introduction available.5
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.

Life saver5
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.

Excellent - buy it!5
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)!