| Literature DB >> 15907186 |
Xing-Ming Zhao1, De-Shuang Huang, Yiu-Ming Cheung.
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.Mesh：
Year: 2005 PMID： 15907186 DOI： 10.2174/0929866053765707
Source DB: PubMed Journal: Protein Pept Lett ISSN： 0929-8665 Impact factor: 1.890