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
Link To Document :
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