Prediction of removal percentage and adsorption capacity of activated red mud for removal of cyanide by artificial neural network
Author:
Affiliation:
1. Department of Mining & Metallurgical Engineering, Amirkabir University of Technology , Tehran, Iran
Publisher
Informa UK Limited
Subject
Pollution,Waste Management and Disposal,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/12269328.2018.1424042
Reference35 articles.
1. Removal of cyanide from aqueous solution using impregnated activated carbon
2. On the optimization of froth flotation by the use of an artificial neural network
3. Arsenic adsorption from aqueous solutions by activated red mud
4. Modeling of Copper(II), Cadmium(II), and Lead(II) Adsorption on Red Mud
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3. Sulfate Removal from Acid Mine Drainage using adsorption onto acid- activated neutralized red mud: Effect of various parameters, isotherm and kinetic studies;2023-03-22
4. Modeling of electrochemical removal of cadmium under galvanostatic mode using an artificial neural network;International Journal of Environmental Science and Technology;2021-09-20
5. Optimization of cyanide removal from wastewaters using a new nano-adsorbent containing ZnO nanoparticles and MOF/Cu and evaluating its efficacy and prediction of experimental results with artificial neural networks;Journal of Molecular Liquids;2019-07
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