Application of neural network model to evaluate hydro-geological parameters

Chih Yung Horng, Cheng Haw Lee

研究成果: Conference contribution

摘要

The study proposes to apply the artificial intelligence combining neural network control system and groundwater flow control equations to investigate the hydro-geological structure and hydraulic parameters in the area of Chou-Shui alluvial fan. We set up the closed-loop control system to simulate the variations of groundwater level in the such area .The close-loop control system collects the feedback data generated from the neural network model and conveys them to the sensor plant (groundwater flow control equation) in the control system . It is found that when the control system responses, the minimum error ( within 5.1×10-4 to 9.2×10-3 in test and predict stage ) of both the neural network model and the sensor plant is occur the results also indicate optimum hydraulic parameters that the innovative method works better than just applied neural network model and MODFLOW software to simulate the groundwater flow.

原文English
主出版物標題2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
頁面1570-1573
頁數4
DOIs
出版狀態Published - 2009 十二月 1
事件2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 - Kaohsiung, Taiwan
持續時間: 2009 十二月 72009 十二月 9

出版系列

名字2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Other

Other2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
國家Taiwan
城市Kaohsiung
期間09-12-0709-12-09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

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