Title :
Neural networks for fuzzy logic inference
Author :
Berenji, Hamid R.
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
Abstract :
Summary form only given. Many perspectives on the impact of neural networks on fuzzy logic inference exist. However, the author has focused on four important categories: (a) pattern recognition, (b) formation of fuzzy rules from data, (c) refinement of fuzzy membership functions, and (d) implementation of fuzzy inference systems using neural networks. The advantages of using neural networks for implementing fuzzy rules have been discussed and examples of their applications are demonstrated
Keywords :
fuzzy logic; fuzzy set theory; inference mechanisms; neural nets; pattern recognition; uncertainty handling; fuzzy logic inference; fuzzy membership functions; fuzzy rules; neural networks; pattern recognition; Artificial intelligence; Artificial neural networks; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Learning; NASA; Neural networks; Space shuttles;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327597
