
The Essence of Neural Networks
Robert Callan(Author)
Prentice Hall (Publisher)
Published on 22. September 1998
Book
Paperback/Softback
248 pages
978-0-13-908732-5 (ISBN)
Description
The Essence of Neural Networks is designed to be a first course on neural networks for undergraduate students, with the mathematics contained to a minimum. The book's main aim is to cover the basic concepts, with the key neural network models explored sufficiently deeply to allow a competent programmer to implement the networks in a language of their choice.
The first six chapters cover the main neural models that are essential for a fundamental grounding in the subject, and the last two chapters are devoted to an overview of some of the links being developed between neural networks and traditional AI.
The first six chapters cover the main neural models that are essential for a fundamental grounding in the subject, and the last two chapters are devoted to an overview of some of the links being developed between neural networks and traditional AI.
More details
Series
Language
English
Place of publication
Upper Saddle River
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 157 mm
Thickness: 13 mm
Weight
378 gr
ISBN-13
978-0-13-908732-5 (9780139087325)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Introduction
Classifying Patterns
Clustering Patterns
Pattern Association
A Sample of Recurrent Networks
Some Other Network Models and A Few Practical Points
Links to Artificial Intelligence
Synthesising Symbols with Neural Networks
Classifying Patterns
Clustering Patterns
Pattern Association
A Sample of Recurrent Networks
Some Other Network Models and A Few Practical Points
Links to Artificial Intelligence
Synthesising Symbols with Neural Networks