Title: Optimizing the Performance of Probabilistic Neural Networks in a BioinformaticsTa sk
Abstract:A self adaptive probabilistic neural network model is proposed. The model incorporates the Particle Swarm Optimization algorithm to optimize the spread parameter of the probabilistic neural network, e...A self adaptive probabilistic neural network model is proposed. The model incorporates the Particle Swarm Optimization algorithm to optimize the spread parameter of the probabilistic neural network, enhancing thus its perfor- mance. The proposed approach is tested on two data sets from the eld of bioinformatics, with promising results. The performance of the proposed model is compared to probabilistic neural networks, as well as to four different feedfor- ward neural networks. Different sampling techniques are used, and statistical tests are performed to justify the statistical signicance of the results.Read More
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 25
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