DocumentCode
787124
Title
Theory and applications of neural networks for industrial control systems
Author
Fukuda, Toshio ; Shibata, Takanori
Author_Institution
Dept. of Mech. Eng., Nagoya Univ., Japan
Volume
39
Issue
6
fYear
1992
fDate
12/1/1992 12:00:00 AM
Firstpage
472
Lastpage
489
Abstract
The theory and the applications of artificial neural networks, especially in a control field, are described. Recurrent networks and feedforward networks are discussed. Application to pattern recognition, information processing, design, planning, diagnosis, and control are examined. Hybrid systems using the neural networks, fuzzy sets, and artificial intelligence (AI) technologies are surveyed
Keywords
control systems; neural nets; artificial intelligence; feedforward networks; fuzzy sets; industrial control systems; information processing; neural networks; pattern recognition; recurrent networks; Artificial intelligence; Artificial neural networks; Biological neural networks; Brain modeling; Industrial control; Machine learning; Mathematical model; Neural networks; Neurons; Pattern recognition;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.170966
Filename
170966
Link To Document