DocumentCode
2269714
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
fYear
1994
fDate
26-29 Jun 1994
Firstpage
2031
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/FUZZY.1994.343528
Filename
343528
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