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Updated: Jun 4, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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优化沿海地下水质量预测:一个新的数据挖掘框架与交叉验证,引导和分析

Abu Reza Md Towfiqul Islam1, Md Abdullah-Al Mamun2, Mehedi Hasan3

  • 1Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh; Department of Development Studies, Daffodil International University, Dhaka 1216, Bangladesh; Department of Earth and Environmental Science, College of Science, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.

Journal of contaminant hydrology
|December 20, 2024
PubMed
概括

人工神经网络 (ANN) 模型准确预测沿海地下水质量,优于其他数据挖掘算法. 这有助于改善孟加拉国等受污染地区的地下水资源管理.

关键词:
孟加拉国 孟加拉国 孟加拉国贝叶斯语 贝叶斯语 贝叶斯语 贝叶斯语沿海水质的质量 沿海水质值正常化规范化 值正常化地下水质量指数 地下水质量指数机器学习 机器学习

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