A novel hybrid GA/RBFNN technique for protein classification

作者：Zhao XM; Huang DS^*; Cheung YM

来源：Protein and Peptide Letters, 2005, 12(4): 383-386.

DOI：10.2174/0929866053765707

• protein sequences classification
• hybrid GA/RBFNN method
• feature selection

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.

• 出版日期2005-5
• 单位中国科学院; 香港浸会大学