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Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation

机译：使用径向基函数网络预测海水中的最佳钙和镁水平及生物矿化预处理海水的应用，以改善铜尾絮凝的关键工具

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Grecia Villca; Dayana Arias; Ricardo Jeldres; Antonio Pánico; Mariella Rivas; Luis Cisternas;
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机译：基于粘土的采矿尾矿海水絮凝：钙和镁沉淀的影响
2. Radial Basis Function Artificial Neural Networks Can Predict UCP2 mRNA Levels According to Irisin Dose and Time of Application in the Cerebellum of Rats [J] . Erden Yavuz, Tekin Suat, Colak Cemil, Acta physiologica . 2015,第Suppla704期

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3. Improvement of radial basis function neural network with accelerated particle swarm optimization for corrosion rate prediction of 3C steel in seawater environment [J] . Jian Qingping Annales de Chimie-Science des Materiaux . 2018,第4期

机译：利用加速粒子群优化对海水环境3C钢腐蚀粒度优化的径向基函数神经网络的改进
4. Application of radial basis functions compared to neural networks to predict air pollution [C] . C. Capilla International Conference on Modelling, Monitoring and Management of Air Pollution . 2015

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5. Application of Radial Basis Function Network Tool for Correlation of CD4+ Count with Plasma Viral Load in HIV-Seropositive Individuals [O] . Arnaw Kishore, Sumana M. Neelambike 2016

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6. Reducing the Magnesium Content from Seawater to Improve Tailing Flocculation: Description by Population Balance Models [O] . Gonzalo R. Quezada, Matías Jeldres, Norman Toro, 2020

机译：从海水中减少镁含量以改善尾絮凝：人口平衡模型的描述

Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation

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