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A novel hybrid methodology combining back propagation neural network with rough set and its application
Last updated on 22 August 2014 3:05
In the increasingly complex world, decision makers need assistance in making informed transportation planning decisions. This article describes the application of rough set (RS) and back propagation neural network (BPNN) in the development of a novel hybrid intelligent model for forecasting the railway passenger traffic demand. The model intends to...
Author(s):
Deng W;Chen R;Liu Y Q
Organisation(s):
Department of Informational Science and Technology, Dalian Maritime University, Dalian, People' ; s Republic of China ; Software Institute, Dalian Jiaotong University, Dalian, People' ; s Republic of China ; Key Laboratory of Intelligent Manufacture of Hunan Province, Xiangtan University, Xiangtan, People' ; s Republic of China ; Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Ministry of Education, Dalian, People' ; s Republic of China ;
2011
China
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