A Study of Artificial Intelligence Techniques for the Estimation of the Arsenic Variation in the Regional Groundwater System
博士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 99 === Artificial intelligence is extensively applied to hydrological systems and is successfully implemented in the quantitative estimation of water quality. However, artificial intelligence techniques are seldom employed in the prediction of groundwater quality....
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/74640890223036245811 |