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A PCA and BP neural network based method for evaluation of the performance of urban management

  • Zhiguo Gong*
  • , Chengwei Pan
  • , Di Zhao
  • *Corresponding author for this work
  • University of Macau
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This 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.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012
Pages290-293
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE Symposium on Robotics and Applications, ISRA 2012 - Kuala Lumpur, Malaysia
Duration: 3 Jun 20125 Jun 2012

Publication series

NameProceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012

Conference

Conference2012 IEEE Symposium on Robotics and Applications, ISRA 2012
Country/TerritoryMalaysia
CityKuala Lumpur
Period3/06/125/06/12

Keywords

  • BP neural networks
  • PCA
  • evaluation method
  • urban management

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