A hybrid neural network system for pattern classification tasks with missing features
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Chee-Peng Lim1, Jenn-Hwai Leong, Mei-Ming Kuan
1School of Electrical and Electronic Engineering, University of Science Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia. cplim@eng.usm.my
Abstract:
A hybrid neural network comprising Fuzzy ARTMAP and Fuzzy C-Means Clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification task are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods.