Artificial Neural Networks
Published on 1. October 1997
Book
Paperback/Softback
528 pages
978-0-07-115554-0 (ISBN)
Description
This textbook brings together an identifiable core of ideas, techniques and applications which characterize the emerging field of artificial neural networks. Features include: numerous exercises which could also be expanded into projects and thesis work; each new topic is preceded with a reduced complexity example of the concept; key concepts and related mathematical analysis are developed in a concise and logical way; and there is discussion of genetic algorithms.
More details
Series
Edition
New edition
Language
English
Place of publication
London
United Kingdom
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Edition type
New edition
Illustrations
facsimiles
Dimensions
Height: 230 mm
Weight
692 gr
ISBN-13
978-0-07-115554-0 (9780071155540)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Artificial neural networks and neural computing; mathematical fundamentals for ANN study; elementary ANN building blocks; single-unit mappings and pattern associator applications; feedforward networks and training; feedforward networks; recurrent networks; competitive and self-organizing networks; radia basis function networks and time-delay neural networks; fuzzy neural networks, including fuzzy sets and logic, and ANN implementations; ANN hardware and implementation contents.