Title :
Fuzzy neural network with fuzzy signals and weights
Author :
Hayashi, Yoichi ; Buckley, James J. ; Czogala, Ernest
Author_Institution :
Dept. of Comput. & Inf. Sci., Ibaraki Univ., Japan
Abstract :
The direct fuzzification of a standard layered feedforward neural network where the signals and weights are fuzzy sets is discussed. A fuzzified delta rule is presented for learning. Three applications are given, including modeling a fuzzy expert system; performing fuzzy hierarchical analysis based on data from a group of experts; and modeling a fuzzy system. Further applications depend on proving that this fuzzy neural network can approximate a continuous fuzzy function to any degree of accuracy on a compact set
Keywords :
expert systems; feedforward neural nets; fuzzy set theory; learning (artificial intelligence); direct fuzzification; fuzzy expert system; fuzzy hierarchical analysis; fuzzy neural network; fuzzy signals; fuzzy system; learning; standard layered feedforward neural network; Arithmetic; Computer networks; Feedforward neural networks; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.226906
