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Protein & Peptide Letters


ISSN (Print): 0929-8665
ISSN (Online): 1875-5305

A Novel Hybrid GA/RBFNN Technique for Protein Sequences Classification

Author(s): Xing-Ming Zhao, De-Shuang Huang and Yiu-ming Cheung

Volume 12, Issue 4, 2005

Page: [383 - 386] Pages: 4

DOI: 10.2174/0929866053765707

Price: $65


A novel hybrid genetic algorithm (GA)/radial basis function neural network (RBFNN) technique, which selects features from the protein sequences and trains the RBF neural network simultaneously, is proposed in this paper. Experimental results show that the proposed hybrid GA/RBFNN system outperforms the BLAST and the HMMer.

Keywords: protein sequences classification, hybrid ga/rbfnn method, feature selection

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