Predictive modeling of copper (II) adsorption from aqueous solutions by sawdust: a comparative analysis of adaptive neuro-fuzzy interference system (ANFIS) and artificial neural network (ANN) approaches

Banza Jean Claude, Maurice Stephane Onyango
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Abstract

Heavy metal ions are considered to be the most prevalent and toxic water contaminants. The objective of thois work was to investigate the effectiveness of employing the adsorption technique in a la...
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锯屑对水溶液中铜 (II) 吸附的预测建模:自适应神经模糊干扰系统 (ANFIS) 和人工神经网络 (ANN) 方法的比较分析
重金属离子被认为是最常见的有毒水污染物。这项工作的目的是研究吸附技术在水处理中的应用效果。
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