Predictive capability evaluation of RSM and ANN models in adsorptive treatment of crystal violet dye simulated wastewater using activated carbon prepared from Raphia hookeri seeds

C. C. Okoye, O. Onukwuli, C. F. Okey-Onyesolu
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引用次数: 9

Abstract

A comparative evaluation of the predictive capability of response surface methodology (RSM) and artificial neural network (ANN) in adsorptive treatment of dye simulated wastewater using acid activa...
RSM和ANN模型对水杨花种子活性炭吸附处理结晶紫染料模拟废水的预测能力评价
对比评价了响应面法(RSM)和人工神经网络(ANN)在酸性活性炭吸附处理染料模拟废水中的预测能力。
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