New self-adaptive probabilistic neural networks in bioinformatic and medical tasks

被引：25

作者：

Georgiou, V. L. ^{[1
]}

Pavlidis, N. G. ^{[1
]}

Parsopoulos, K. E. ^{[1
]}

Alevizos, Ph. D. ^{[1
]}

Vrahatis, M. N. ^{[1
]}

机构：

[1] UPAIRC, CI Lab, Dept Math, GR-26110 Patras, Greece

来源：

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 2006年 / 15卷 / 03期

关键词：

probabilistic neural networks; bioinformatics; particle swarm optimization;

D O I：

10.1142/S0218213006002722

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a self-adaptive probabilistic neural network model, which incorporates optimization algorithms to determine its spread parameters. The performance of the proposed model is investigated on two protein localization problems, as well as on two medical diagnostic tasks. Experimental results are compared with that of feedforward neural networks and support vector machines. Different sampling techniques are used and statistical tests are conducted to calculate the statistical significance of the results.

引用

页码：371 / 396

页数：26

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