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
fDate :
12/1/1992 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
