The use of Artificial Neural Network (ANN) for modeling of Cu (II) ion removal from aqueous solution by flotation and sorptive flotation process

Author:

Abdulhussein Shahad A.,Alwared Abeer I.

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,General Environmental Science

Reference21 articles.

1. Removal of Cu+2 and Ni+2 From Aqueous Solution Using Flotation and Sorptive Flotation with Application of Artificial Neural Network;Abdulhussein,2018

2. Prediction of azo dye decolorization by UV/H2O2 using artificial neural networks;Aleboyeh;Dyes Pigm.,2008

3. Improving estimation accuracy of metallurgical performance of industrial flotation process by using hybrid genetic algorithm – artificial neural network (GA-ANN);Allahkarami;Physicochem. Probl. Miner. Process.,2017

4. Artificial neural network approach for prediction lead ions removable from wastewater by flotation method;Alwared;J. Gen. Secretary Arab Eng. Coll. Soc. Assoc. Arab Univ. Union,2013

5. Removal of cadmium(ii) from aqueous solution by ion flotation using rhamnolipid bio surfactant as an ion collector;Bodagh;Ind. Eng. Chem. Res.,2013

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