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

Authors:
Florin Gorunescu;Elia El-Darzi;Smaranda Gorunescu
Affiliations:
University of Medicine and Pharmacy of Craiova;University of Westminster;University of Craiova
Venue:
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Year:
2005

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Abstract

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.