المؤلفون: Jing Zhang, Xiaolong Yao, Yue Zhao, Rengui Li, Xiaofei Chen, Haibo Jin, Huangzhao Wei, Lei Ma, Zhao Mu, Xiaowei Liu

مصطلحات موضوعية: Microbiology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, support vector regression, six key variables, machine learning algorithms, derived optimal conditions, comprehensive data set, artificial neural networks, 12 %, validated, time wastewater monitoring, >‑ cresol wastewater, optimized experimental designs, 2 +, ann model projected, 2 , contaminated wastewater, reaction time, ann model, >- cresol, work paves, substrate concentration, study investigates, removal rates, random forest, pivotal challenge, multivariable input, industrial applications

Relation: https://figshare.com/articles/journal_contribution/Optimizing_the_UV-Fenton_Degradation_of_i_m_i_Cresol_Wastewater_An_Experimental_and_Artificial_Intelligence_Modeling_Approach/24953766

الاتاحة: https://doi.org/10.1021/acs.iecr.3c03847.s001
https://figshare.com/articles/journal_contribution/Optimizing_the_UV-Fenton_Degradation_of_i_m_i_Cresol_Wastewater_An_Experimental_and_Artificial_Intelligence_Modeling_Approach/24953766