Title :
Fuzzy neural controller
Author :
Hayashi, Yoichi ; Czogala, Ernest ; Buckley, James J.
Author_Institution :
Dept. of Comput. & Inf. Sci., Ibaraki Univ., Japan
Abstract :
The authors consider a fuzzy controller that processes fuzzy information. They discuss the model of the fuzzy controller, with fuzzy inputs for error and change in error, using a max-min neural network. A new learning algorithm, a modified delta rule, is derived. The generalization property of the neural net can be used to find a controller output for new fuzzy values of error and change in error. An example is presented showing the applicability of the fuzzy neural controller
Keywords :
fuzzy control; learning (artificial intelligence); neural nets; delta rule; fuzzy neural controller; learning algorithm; maxmin neural nets; Automatic control; Computer errors; Computer science; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Hybrid intelligent systems; Neural networks; Process control;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258617
