title: A novel hybrid GA/RBFNN technique for protein sequences classification.
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.
authors.affiliation: Intelligent Computing Lab, Hefei Institute of Intelligent Machines, CAS, Anhui, China.
authors.forename: Xing-Ming
authors.initials: XM
authors.lastname: Zhao
authors.forename: De-Shuang
authors.initials: DS
authors.lastname: Huang
authors.forename: Yiu-Ming
authors.initials: YM
authors.lastname: Cheung
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D016571:Neural Networks, Computer; D020539:Sequence Analysis, Protein / Q000379:methods*