Machine Learning
Neural Networks, Genetic Algorithms and Fuzzy Systems
Published on 8. September 1994
Book
Hardback
320 pages
978-0-471-01633-5 (ISBN)
Description
Covering the development of machine learning algorithms, this text offers descriptions of object oriented programming, neural networks, genetic algorithms and fuzzy set theory. Examples are used from the fields of engineering design and image recognition.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 241 mm
Width: 159 mm
Weight
510 gr
ISBN-13
978-0-471-01633-5 (9780471016335)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Perceptron Learning with a Hidden Layer; An Object-Oriented Backpropagation Learning Model; Concurrent Backpropagation Learning Algorithms; An Adaptive Conjugate Gradient Learning Algorithm for Efficient Training of Neural Networks; A Concurrent Adaptive Conjugate Gradient Learning Algorithm on MIMD Shared Memory Machines; A Concurrent Genetic/Neural Network Learning Algorithm for MIMD Shared Memory Machines; A Hybrid Learning Algorithm for Distributed Memory Multicomputers; A Fuzzy Neural Network Learning Model; Appendices; References; Index.