DocumentCode
3239596
Title
Neural net solutions to fuzzy linear programming
Author
Buckley, James J. ; Hayashi, Yoich
Author_Institution
Dept. of Math., Alabama Univ., Birmingham, AL, USA
Volume
3
fYear
1996
fDate
8-11 Sep 1996
Firstpage
1563
Abstract
We show how a neural net, with sign restrictions on its weights, can be trained to produce approximate solutions to fuzzy linear programming problems. The neural net approximates the joint solution to the fuzzy linear program
Keywords
fuzzy set theory; linear programming; neural nets; approximate solutions; fuzzy linear programming; neural net solutions; sign restrictions; Computer science; Equations; Fuzzy neural networks; Fuzzy sets; Linear programming; Mathematics; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552565
Filename
552565
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