Neural Networks: An Introduction

By Berndt Müller and Joachim Reinhardt

Book Overview

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

• Format: Paperback
• Language: English
• ISBN: 3540602070
• ISBN13: 9783540602071
• Release Date: October 1995
• Publisher: Springer
• Length: 331 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"

Customer Reviews

Perfect for beginners

This book have the basics of neural networks (NN) treated at undergraduate level adequated to students of physics, mathematics or engineering. The relevant concepts are all explained and it recquires no previous knowledge in the area from the reader. It is a perfect introduction to the theory of neural networks for those who are iniciating in the field and have no experience with NN.