Artificial Neural Network (ANN) approach in predicting arsenic and mercury species in Kinta River / Norshidah Baharuddin

Artificial Neural Network (ANN) approach in predicting arsenic and mercury species in Kinta River / Norshidah Baharuddin

Surface water is most exposed to pollution from chemical, physical and biological contaminants by anthropogenic activities. Identifying the variables contributing to the deterioration of water quality is crucial and predicting the future status is vital in managing the ecosystem. As Kinta River is a...

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书目详细资料
主要作者:	Baharuddin, Norshidah
格式:	Thesis
语言:	English
出版:	2014
主题:	Electronic Computers Computer Science
在线阅读:	https://ir.uitm.edu.my/id/eprint/40149/1/40149.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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