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Protein & Peptide Letters
ISSN (Print): 0929-8665
ISSN (Online): 1875-5305
VOLUME: 12
ISSUE: 4
DOI: 10.2174/0929866053765707      Price:  $58









A Novel Hybrid GA/RBFNN Technique for Protein Sequences Classification

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Author(s): Xing-Ming Zhao, De-Shuang Huang and Yiu-ming Cheung
Pages 383-386 (4)
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.
Keywords:
protein sequences classification, hybrid ga/rbfnn method, feature selection
Affiliation:
Intelligent Computing Lab, Hefei Institute of Intelligent Machines, CAS, Hefei, Anhui, 230031, China.