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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書目詳細資料
主要作者:	Baharuddin, Norshidah
格式:	Thesis
語言:	English
出版:	2014
主題:	Electronic Computers Computer Science
在線閱讀:	https://ir.uitm.edu.my/id/eprint/40149/1/40149.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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