使用水质参数来通过人工神经网络模型预测基于离子的三甲

Ali Akbar Babaei1,2, Yaser Tahmasebi Birgani1,2, Zeynab Baboli3

  • 1Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

概括

使用人工神经网络研究了饮用水中的潜在致癌物质三甲 (THM). 结果显示,THM水平在某些领域超过标准,突出显示需要监测和控制.

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