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Evolutionary Strategy for Learning Multiple-Valued Logic Functions
University of Toronto, Toronto, Canada May 19-May 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISMVL.2004.131993534th International Symposium on Multi ...
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Alioune Ngom, Dan A. Simovici, Ivan Stojmenović, "Evolutionary Strategy for Learning Multiple-Valued Logic Functions," Multiple-Valued Logic, IEEE International Symposium on, pp. 154-160, 34th International Symposium on Multiple-Valued Logic (ISMVL'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISMVL.2004.1319935,
author = {Alioune Ngom and Dan A. Simovici and Ivan Stojmenović},
title = {Evolutionary Strategy for Learning Multiple-Valued Logic Functions},
journal ={Multiple-Valued Logic, IEEE International Symposium on},
volume = {0},
year = {2004},
issn = {0195-623X},
pages = {154-160},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISMVL.2004.1319935},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Multiple-Valued Logic, IEEE International Symposium on
TI - Evolutionary Strategy for Learning Multiple-Valued Logic Functions
SN - 0195-623X
SP154
EP160
A1 - Alioune Ngom,
A1 - Dan A. Simovici,
A1 - Ivan Stojmenović,
PY - 2004
KW - Multiple-valued logic
KW - Multiple-threshold perceptron
KW - Evolution strategy
KW - Neural network
KW - Partitioning method
KW - Constructive algorithm
VL - 0
JA - Multiple-Valued Logic, IEEE International Symposium on
ER -
 
Alioune Ngom, University of Windsor
Dan A. Simovici, University of Massachusetts at Boston
Ivan Stojmenović, University of Ottawa
We consider the problem of synthesizing multiple-valued logic functions by neural networks. An evolutionary strategy (ES) which finds the longest strip in V \subseteq K^n described. A strip contains points located between two parallel hyperplanes. Repeated application of ES partitions the space V into certain number of strips, each of them corresponding to a hidden unit. We construct neural networks based on these hidden units. Preliminary experimental results are presented and discussed.
Index Terms:
Multiple-valued logic, Multiple-threshold perceptron, Evolution strategy, Neural network, Partitioning method, Constructive algorithm
Citation:
Alioune Ngom, Dan A. Simovici, Ivan Stojmenović, "Evolutionary Strategy for Learning Multiple-Valued Logic Functions," ismvl, pp.154-160, 34th International Symposium on Multiple-Valued Logic (ISMVL'04), 2004
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