Title :
A fuzzy approach to input variable identification
Author :
Lin, Yinghua ; Cunningham, George A., III
Author_Institution :
Dept. of Comput. Sci., New Mexico Inst. of Min. & Technol., Socorro, NM, USA
Abstract :
We introduce “fuzzy curves” and use them for input variable identification. We give several examples to show that, in contrast to previously proposed methods, our method is computationally simple and identifies significant input variables easily
Keywords :
computational complexity; fuzzy set theory; identification; computationally simplicity; fuzzy curves; input variable identification; Computer science; Data analysis; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Input variables; Neural networks; Performance analysis; System testing; Training data;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343528
