Diagnostic Reasoning in Rule-based Neural Systems
Published in November 1995
Book
Hardback
128 pages
978-0-412-55790-3 (ISBN)
Description
Providing an updated analysis of the theoretical and experimental approaches to automated diagnosis, this book investigates the advantages of applying neural network techniques to augment classical symbolic systems. This book should be of interest to applied engineers and researchers in neural networks, artificial intelligence and expert systems.
Providing an updated analysis of the theoretical and experimental approaches to automated diagnosis, this book investigates the advantages of applying neural network techniques to augment classical symbolic systems. This book should be of interest to applied engineers and researchers in neural networks, artificial intelligence and expert systems.
Providing an updated analysis of the theoretical and experimental approaches to automated diagnosis, this book investigates the advantages of applying neural network techniques to augment classical symbolic systems. This book should be of interest to applied engineers and researchers in neural networks, artificial intelligence and expert systems.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-0-412-55790-3 (9780412557903)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Diagnostic reasoning and neural networks. Neural models. Data entry. Inference: classical logic. Inference: uncertain methods. Query and justification. Perspectives.