Research Catalog

Title

Neural networks in computer intelligence / LiMin Fu.

Author

Fu, LiMin, 1953-

Publication

New York : McGraw-Hill, c1994.

Items in the Library & Off-site

Holdings

Details

Description

xix, 460 p. : ill.; 25 cm. +

Summary

"Neural Networks in Computer Intelligence provides basic concepts, algorithms, and analysis of important neural network models developed to date, with emphasis on the importance of knowledge in intelligent system design. The book bridges the gap between artificial intelligence and neural networks. Unlike many other network books, this book pioneers the effort to offer a unified perspective which can be used to integrate intelligence technologies. The broad coverage of the book and the emphasis on basic principles can accommodate the diverse background of readers. With little technical background, students, professionals, and practitioners can be guided through the book and develop a sufficient grasp of the material. The book provides a step-by-step introduction to artificial neural networks and relates them to symbolic techniques where appropriate. After presenting basic neural network computational models in the beginning chapters, the text takes the reader through more advanced models organized around vital scientific and engineering topics from the perspective of computer intelligence. Neural Networks in Computer Intelligence formulates each important neural network algorithm in a consistent and coherent format and includes end-of-chapter problems for enhancing the student's understanding of both theory and application. A PC disk containing an object-oriented neural network software package is enclosed in this book. This software provides the facilities of building and operating a high-performance knowledge-based neural network as well as a general back-propagation neural network of any configuration for various applications"--Page 4 of cover.

Subject

• Neural networks (Computer science)
• Artificial intelligence
• Neural Networks, Computer
• Artificial Intelligence

Note

• System requirements for computer disk: IBM-compatible PC.

Bibliography (note)

• Includes bibliographical references and index.

System Details (note)

• System requirements for computer disk: IBM-compatible PC; DOS.

Processing Action (note)

• committed to retain

Contents

Theory, methods, applications -- Introduction -- Basic neural computational models -- Learning: supervised and unsupervised -- Knowledge-based neural networks -- Incremental lerning -- Mathematical modeling -- Complex domains -- Discovery -- Structures and sequences -- Learning spatiotemporal patterns -- Neural networks and expert systems -- Expert systems -- Causal learning and modeling -- Validation and verification -- Rule generation from neural networks -- Learning grammars -- Case studies -- Genetic pattern recognition -- Drug discovery -- Flow cytometric analysis of leukemia.

ISBN

0079118178 (recycled, acid-free paper) :

LCCN

^^^93080646^

OCLC

• 29428078
• SCSB-10136889

Owning Institutions

Harvard Library