An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis

CC
CBMS
2005
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)
Abstract - An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis

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18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)

Dublin, Ireland

June 23-June 24

ISBN: 0-7695-2355-2

	ASCII Text	x
	Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Smaranda Gorunescu, "An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis," Computer-Based Medical Systems, IEEE Symposium on, pp. 461-466, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005.

	BibTex	x
	@article{ 10.1109/CBMS.2005.24, author = {Florin Gorunescu and Marina Gorunescu and Elia El-Darzi and Smaranda Gorunescu}, title = {An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2005}, issn = {1063-7125}, pages = {461-466}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2005.24}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis SN - 1063-7125 SP461 EP466 A1 - Florin Gorunescu, A1 - Marina Gorunescu, A1 - Elia El-Darzi, A1 - Smaranda Gorunescu, PY - 2005 KW - null VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

Florin Gorunescu, University of Medicine and Pharmacy of Craiova

Marina Gorunescu, University of Craiova

Elia El-Darzi, University of Westminster

Smaranda Gorunescu, University of Craiova

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2005.24

The performance of a probabilistic neural network is strongly influenced by the smoothing parameter. This paper introduces an evolutionary approach based on genetic algorithm to optimise the search of the smoothing parameter in a modified probabilistic neural network. A Java implementation is introduced and the computational results showed the viability of this hybrid approach to determine the optimum diagnosis for hepatic diseases.

Citation:

Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Smaranda Gorunescu, "An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis," cbms, pp.461-466, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005

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