使用AI和ML算法进行水质预测

B. Nivedetha
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引用次数: 0

摘要

为了支持国家不断增长的人口和经济,工业改良的迅速发展对我们的水资源造成了前所未有的污染。水污染是当今最令人担忧的问题之一。水质预测在水环境科学领域的应用日益广泛。随着我们扩大对水资源的理解,数据驱动战略正变得越来越有吸引力和有益。数据挖掘是一种直接的探索方法,它可以管理所提供数据的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Quality Prediction using AI and ML Algorithms
Expeditious growth in industrial amelioration to support the country’s expanding population and economy has contaminated our water resources like never before. Water pollution is one of the most alarming concerns for us today. Prediction of water quality has grown in popularity in the field of water environmental science. Data-driven strategies are becoming increasingly fascinating and beneficial as we extend our understanding of water means. Data mining, which can manage the complexity within the provided data, is a direct method for exploration.
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