Artificial neural network for wireless field strength prediction under power lines in Taiwan railway

Ting Chia Ou, Whei Min Lin, Chin Der Yang, Rong Ching Wu, Chien Hsiang Huang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

A new model based on artificial neural network for the wireless field strength prediction for the message communicated to trolleys and level-crossings under Power lines inside Taiwan Railway. The purpose used with wireless communication, linked with level-crossings, and uses the radio propagation to dispatch message from the wireless equipments to the trolleys along Taiwan Railway. In contrast to other prediction models, the new method shows a better prediction result and generalization, so the forecast results are very accurate in Taiwan Railway. We perform some practical measurements under power lines, and then use the neural network model to verify the measured data. This model is particularly suited for application in Taiwan Railway planning from Tainan to Fangliao separated by Western Line, Pingtung Line, and Kaohsiung city local line respectively. The consequences for static and dynamic measurement of this wireless system, concerned with the level-crossing and the trolley, is able to present an improved mission regulation in railway.

原文English
主出版物標題2007 IEEE Lausanne POWERTECH, Proceedings
頁面2180-2183
頁數4
DOIs
出版狀態Published - 2007
事件2007 IEEE Lausanne POWERTECH - Lausanne, Switzerland
持續時間: 2007 7月 12007 7月 5

出版系列

名字2007 IEEE Lausanne POWERTECH, Proceedings

Conference

Conference2007 IEEE Lausanne POWERTECH
國家/地區Switzerland
城市Lausanne
期間07-07-0107-07-05

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

指紋

深入研究「Artificial neural network for wireless field strength prediction under power lines in Taiwan railway」主題。共同形成了獨特的指紋。

引用此