A generalized predictive model for TiO2–Catalyzed photo-degradation rate constants of water contaminants through artificial neural network-Reference-Cited by-同舟云学术

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

Published:2020-08 Issue: Volume:187 Page:109697
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Jiang Zhuoying,Hu Jiajie,Zhang Xijin,Zhao Yihang,Fan Xudong,Zhong Shifa,Zhang Huichun,Yu Xiong

Funder

Georgian National Science Foundation

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference56 articles.

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2. Deep Learning Using Rectified Linear Units (Relu);Agarap,2018

3. Influence of parameters on the heterogeneous photocatalytic degradation of pesticides and phenolic contaminants in wastewater: a short review;Ahmed;J. Environ. Manag.,2011

4. Photocatalytic destruction of VOCs in the gas-phase using titanium dioxide;Alberici;Appl. Catal. B Environ.,1997

5. Advanced oxidation of five contaminants in water by UV/TiO2: reaction kinetics and byproducts identification;Alvarez-Corena;J. Environ. Manag.,2016

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