goldenone 08-4-15 09:57
Recent Advances in Artificial Neural Networks Design and Applications
【原书作者】： Lakhmi Jain,
【ISBN 】： 0-8493-2268-5
【页数 】：400
【开本 】 ：16
【出版社】 ：CRC
【出版日期】：2000
【文件格式】：pdf
【摘要或目录】：Neural networks are a new generation of information processing
paradigms designed to mimic some of the behaviors of the human
brain. These networks have gained tremendous popularity due to their
ability to learn, recall and generalize from training data. A number of
neural network paradigms have been reported in the last four decades,
and in the last decade the neural networks have been refined and widely
used by researchers and application engineers.
The main purpose of this book is to report recent advances in neural
network paradigms and their applications. It is impossible to include all
recent advances in this book; hence, only a sample has been included.
This book consists of 10 chapters. Chapter 1, by Ghosh and Taha,
presents the architecture of a neuro-symbolic hybrid system. This
system embeds initial domain knowledge and/or statistical information
into a custom neural network, refines this network using training data,
and finally extracts refined knowledge in the form of refined rule base.
Two successful applications of this hybrid system are described.
Chapter 2, by Karayiannis and Behnke, presents an axiomatic approach
for formulating radial basis function neural networks. The batch and
sequential learning algorithms are developed for reformulated radial
basis function neural networks. This approach is demonstrated on
handwritten digit recognition.
Chapter 3, by Vassilas, is on efficient neural network-based
methodology for the design of multiple classifiers. An increase in speed
in the neural network training phase as well as in the selection of fuzzy
and statistical supervised classifiers is achieved by size reduction and
redundancy removal from the data set. The catalog of self-organizing
feature maps together with the index table is used as a compressed
representation of the original data. This technique is demonstrated on
land-cover classification of multi-spectral satellite image showing
increased speed.
【封面附图】：