Şahin, Y. Et Al. 2022. Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network. Water and Environment Journal , vol.36, no.3 , 0-574.

Şahin, Y., Akyol, N. H., & Kasap, S. S., (2022). Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network. Water and Environment Journal , vol.36, no.3, 0-574.

Şahin, YILDIZ, NİHAT HAKAN AKYOL, And Sedanur Selay Kasap. "Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network," Water and Environment Journal , vol.36, no.3, 0-574, 2022

Şahin, YILDIZ Et Al. "Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network." Water and Environment Journal , vol.36, no.3, pp.0-574, 2022

Şahin, Y. Akyol, N. H. And Kasap, S. S. (2022) . "Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network." Water and Environment Journal , vol.36, no.3, pp.0-574.

@article{article, author={YILDIZ ŞAHİN Et Al. }, title={Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network}, journal={Water and Environment Journal}, year=2022, pages={0-574} }