Minimization of multivalued multithreshold perceptrons using genetic algorithms

被引：3
|
作者：
Ngom, A [1 ]
Stojmenovic, I [1 ]
Obradovic, Z [1 ]
机构：
[1] Univ Ottawa, Dept Comp Sci, Sch Informat Technol & Engn, Ottawa, ON K1N 9B4, Canada
来源：
1998 28TH IEEE INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC - PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/ISMVL.1998.679434
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We address the problem of computing and learning multivalued multithreshold perceptrons. Every n-input kappa-valued logic function can be implemented using a (kappa, s)-perceptron, for some number of thresholds s. We propose a genetic algorithm to search for an optimal (kappa, s)-perceptron that efficiently realizes a given multiple-valued logic function, that is to minimize the number of thresholds. Experimental results show that the genetic algorithm find optimal solutions in most cases.
引用
收藏
页码：209 / 214
页数：6
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