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