IEEE International Conference on Fuzzy Systems: March 8-12, 1992, San Diego, CaliforniaInst. of Electric. and Electronics Engineers, 1992 - 1438 pages |
Contents
Interpolative Reasoning in Fuzzy Logic and Neural Network Theory | 1 |
S Nakanishi T Takagi T Nishiyama Tokai University | 13 |
IMAGE PROCESSING | 17 |
Copyright | |
88 other sections not shown
Other editions - View all
Common terms and phrases
adaptive algorithm analysis application approach approximate assume called cell classification cluster color combination Computer concept conditional consider control system corresponding cross-detecting line decision defined definition described detection determined developed distance dynamic elements equation error example extraction Figure fuzzy control fuzzy logic fuzzy set given IEEE inference input integral interval introduced knowledge layer learning linear linguistic means measure membership functions method modified neural network normal object obtained operations optimal output parameters pattern Pattern Recognition performance plant position possibility distribution presented probability problem procedure properties proposed reasoning References region relation represented respectively response rules samples segmentation selected shown shows similar simulation space Step structure subsets switching t-norms Table techniques Theorem theory tuning University variables vector vision weights