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Prediction of Rate Constant of Photocatalytic Degradation of Pharmaceutical Pollutants by Artificial Intelligence based Genetic Programming Formalism

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This article is published in Computers & Electrical Engineering.The article was published on 2018-03-31. It has received 1 citations till now. The article focuses on the topics: Genetic programming.

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A generalized predictive model for TiO2-Catalyzed photo-degradation rate constants of water contaminants through artificial neural network.

TL;DR: A generalized predictive model was developed for prediction of the photo-degradation rate constants of organic contaminants in the presence of TiO2 nanoparticles and ultraviolet irradiation in aqueous solution.