A Novel Hybrid GA/RBFNN Technique for Protein Sequences Classification

Title: A Novel Hybrid GA/RBFNN Technique for Protein Sequences Classification

Volume: 12 Issue: 4

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

Affiliation:

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

Abstract: 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.

Cite this article as:

Zhao Xing-Ming, Huang De-Shuang and Cheung Yiu-ming, A Novel Hybrid GA/RBFNN Technique for Protein Sequences Classification, Protein & Peptide Letters 2005; 12 (4) . https://dx.doi.org/10.2174/0929866053765707

DOI https://dx.doi.org/10.2174/0929866053765707	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305