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A PCA and BP neural network based method for evaluation of the performance of urban management
Gong Z.1; Pan C.2; Zhao D.2
2012-07-30
Source PublicationProceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012
Pages290-293
AbstractThis paper mainly discuss the BP neural networks based prediction and evaluation method. In order to avoid the drawbacks of the classical BP networks, the PCA method is introduced, based on which a combination method called the PCA based BP neural networks is proposed. Finally, an experiment on evaluation for the urban management is given. The results demonstrate the validity and feasibility of the PCA based BP neural networks. And the comparison shows that: the PCA based neural networks does have a better performance than the classical BP neural networks. © 2012 IEEE.
KeywordBP neural networks evaluation method PCA urban management
DOI10.1109/ISRA.2012.6219181
URLView the original
Language英語
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Document TypeConference paper
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Beihang University
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Gong Z.,Pan C.,Zhao D.. A PCA and BP neural network based method for evaluation of the performance of urban management[C],2012:290-293.
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