Prediction of Cadmium Removal Using an Artificial Neural Network and a Neuro-Fuzzy Technique |
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Authors: | T. N. Singh V. K. Singh S. Sinha |
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Affiliation: | (1) Dept of Earth Sciences, IIT, Powai, Mumbai 400067, India;(2) Inst of Technology, Banaras Hindu University, Varanasi 221005, India |
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Abstract: | Abstract. The prediction of adsorption of cadmium by hematite using an adapted neural fuzzy model and a back propagation artificial neural network was compared. Adsorption was found to depend on the Cd concentration, agitation rate, temperature, pH, and the particle size of the hematite. The adaptive neuro-fuzzy inference system proved to be more efficient in predicting Cd adsorption than a single layered feed forward artificial neural network. |
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Keywords: | KeywordHeading" >: Adsorption artificial neural network cadmium fuzzy logic hematite |
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