ŞAHİN, Y. Et Al. 2023. Multi-response optimization of process parameters for remediation of tetrachloroethylene pools by surfactants: Application of Taguchi design of experiment and Artificial Neural Network. Water and Environment Journal , vol.37, no.3 , 454-469.

ŞAHİN, Y., Kasap, S. S., Akyol, G., & AKYOL, N. H., (2023). Multi-response optimization of process parameters for remediation of tetrachloroethylene pools by surfactants: Application of Taguchi design of experiment and Artificial Neural Network. Water and Environment Journal , vol.37, no.3, 454-469.

ŞAHİN, YILDIZ Et Al. "Multi-response optimization of process parameters for remediation of tetrachloroethylene pools by surfactants: Application of Taguchi design of experiment and Artificial Neural Network," Water and Environment Journal , vol.37, no.3, 454-469, 2023

ŞAHİN, YILDIZ Et Al. "Multi-response optimization of process parameters for remediation of tetrachloroethylene pools by surfactants: Application of Taguchi design of experiment and Artificial Neural Network." Water and Environment Journal , vol.37, no.3, pp.454-469, 2023

ŞAHİN, Y. Et Al. (2023) . "Multi-response optimization of process parameters for remediation of tetrachloroethylene pools by surfactants: Application of Taguchi design of experiment and Artificial Neural Network." Water and Environment Journal , vol.37, no.3, pp.454-469.

@article{article, author={YILDIZ ŞAHİN Et Al. }, title={Multi-response optimization of process parameters for remediation of tetrachloroethylene pools by surfactants: Application of Taguchi design of experiment and Artificial Neural Network}, journal={Water and Environment Journal}, year=2023, pages={454-469} }