A novel hybrid methodology combining back propagation neural network with rough set and its application

Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

Volumn 225, Issue 3, 2011, Pages 259-265

  Deng, W ^a,b,c,d   Chen, R ^a   Liu, Y Q ^a  

^a DALIAN MARITIME UNIVERSITY   (China)

^b DALIAN JIAOTONG UNIVERSITY   (China)

^c XIANGTAN UNIVERSITY   (China)

^d DALIAN UNIVERSITY   (China)

Author keywords

Back propagation neural network; Golden section search; Hybrid clustering method; Levenberg Marquardt algorithm; Railway passenger traffic demand forecasting; Rough set

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; GOLDEN SECTION SEARCH; HYBRID CLUSTERING; LEVENBERG-MARQUARDT ALGORITHM; PASSENGER TRAFFIC; ROUGH SET;

ALGORITHMS; BACKPROPAGATION; DECISION TABLES; FORECASTING; RAILROADS; ROUGH SET THEORY; TRAFFIC SURVEYS;

NEURAL NETWORKS;

EID: 80052858530     PISSN: 09544097     EISSN: 20413017     Source Type: Journal    
DOI: 10.1243/09544097JRRT400     Document Type: Article

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