
Neural Networks
Palgrave Macmillan (Publisher)
Published on 25. June 1991
Book
Paperback/Softback
160 pages
978-0-333-54996-4 (ISBN)
Description
The term "neural networks" is used to describe a number of different models intended to imitate some of the functions of the human brain, using certain of its basic structures. The authors aim to convey an intuitive and practical understanding of the topic and to provide the foundations necessary before undertaking further study. To this end, the first part of the book is devoted to a description of biological foundations. Biology is the source of study of neural networks and it seems probable that it will continue to provide a source of essential ideas. Following this introduction, a general model for neural networks is presented and a number of today's most important models are studied. Lastly, a number of real applications are discussed.
More details
Series
Language
English
Place of publication
Basingstoke
United Kingdom
Target group
College/higher education
Professional and scholarly
Illustrations
bibliography, index
Dimensions
Height: 234 mm
Width: 156 mm
Weight
254 gr
ISBN-13
978-0-333-54996-4 (9780333549964)
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
Persons
Content
Preface - Biological Foundations: components of the brain, functional principles - Neural Models: a synthetic neuron, structure of connections, state dynamics, connection dynamics, functioning of the models, the perceptron - From Single Layer to Multi Layer Neural Networks: associate networks and pattern recognition, single layer associative networks, back-propagation, development of the back-propagation model - Hopfield Model: content addressable memory, the model, use in optimisation problems, simulated annealing, the Boltzmann machine - Kohonen Model: a general model, self adaptive topological maps, adaptive filters, pattern recognition - Applications of Neural Networks: reasons for using neural networks, methodology, review of applications, radio communication application - Neural Computers: model for a general neurocomputer, commercial implementations, prototypes and prospects