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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
  • *此作品的通讯作者
  • University of Macau
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012
290-293
页数4
DOI
出版状态已出版 - 2012
活动2012 IEEE Symposium on Robotics and Applications, ISRA 2012 - Kuala Lumpur, 马来西亚
期限: 3 6月 20125 6月 2012

出版系列

姓名Proceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012

会议

会议2012 IEEE Symposium on Robotics and Applications, ISRA 2012
国家/地区马来西亚
Kuala Lumpur
时期3/06/125/06/12

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