依托机器学习的精准预测,水质管理正迎来深刻的智能变革。本文详细探讨了机器学习算法在水质管理领域的研究进展,目前大部分研究主要集中于水质的预测与评价。首先,概述了四种在水质管理领域应用较多的机器学习算法(SVM、RF、LSTM、ANN)的基本原理,并介绍了这四种算法应用于水质管理领域的优势以及存在的问题。随后,总结了近年来机器学习算法在水质预测和水质评价的研究进展,发现单一算法模型预测效果有限且不稳定,混合元启发式优化算法可以很好的改善模型性能。展望未来 ...
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