Publisher： Bentham Science Publishers
E-ISSN： 1875-5305|12|4|383-386
ISSN： 0929-8665
Source： Protein and Peptide Letters, Vol.12, Iss.4, 2005-05, pp. : 383-386
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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.
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