Probabilistic neural network and polynomial fitting approach used to determine radio field strength under power lines in radial network

Ting Chia Ou, Cong Hui Huang, Chiung Hsing Chen, Chih Ming Hong, Kai Hung Lu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

A new model based on Probabilistic neural network (PNN) and Polynomial Fitting Approaches (PFA) for radio field strength prediction has been developed. This paper researches the radio field strength, related to the service of a radio system for the operation of set points in the radial networks. The service uses radio propagation to dispatch messages to set points. In order to estimate the radio field strength, we performed some realistic measurements related to set points. Then, the data was analyzed using a combination of Probabilistic Neural Network and Polynomial approximations to estimate the radio field strength, and to create a new optimal model specific to the needs of radial networks.

原文English
主出版物標題2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
頁面1653-1658
頁數6
DOIs
出版狀態Published - 2009
事件2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 - Singapore, Singapore
持續時間: 2009 7月 142009 7月 17

出版系列

名字IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
國家/地區Singapore
城市Singapore
期間09-07-1409-07-17

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 軟體
  • 電腦科學應用
  • 電氣與電子工程

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