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基于BP神经网络的煤矿透水水源判别方法 被引量:1
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作者 徐秀华 《华北科技学院学报》 2019年第4期57-64,共8页
为了快速准确判别透水水源,为煤矿水害防治提供依据,系统分析了福建省龙永煤田透水水源35个标准水样的水化学特征,确定Ca2+、HCO3^-和SO4^2-为特征离子,建立BP神经网络判别模型,随机选取不同水源类型的9个水样作为检验样本,预判正确率88... 为了快速准确判别透水水源,为煤矿水害防治提供依据,系统分析了福建省龙永煤田透水水源35个标准水样的水化学特征,确定Ca2+、HCO3^-和SO4^2-为特征离子,建立BP神经网络判别模型,随机选取不同水源类型的9个水样作为检验样本,预判正确率88.89%,采集3个未知样本,验证其预判准确率为100%。 展开更多
关键词 透水水源 水化学特征 BP神经网络 判别模型
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Development and Extension of Seawater Desalination by Reverse Osmosis 被引量:3
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作者 高从堦 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2003年第1期40-45,共6页
Seawater desalination has been peoples fond dream since ancient times, the dream is now becoming a reality. This paper presents a brief development history of reverse osmosis. Much attention was paid to innovative dev... Seawater desalination has been peoples fond dream since ancient times, the dream is now becoming a reality. This paper presents a brief development history of reverse osmosis. Much attention was paid to innovative development in membranes, modules, equipments and applied technology, including asymmetric and composite membranes, spiral-wound element and hollow fiber module, energy recovery equipments and different technological processes. The extension of reverse osmosis, such as desalination, pre-concentration, integrated processes and nanofiltration, is also briefly mentioned. 展开更多
关键词 reverse osmosis DESALINATION membranes
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