K. Yetilmezsoy And A. Saral, "Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers," ENVIRONMENTAL MODELING & ASSESSMENT , vol.12, pp.13-26, 2007
Yetilmezsoy, K. And Saral, A. 2007. Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers. ENVIRONMENTAL MODELING & ASSESSMENT , vol.12 , 13-26.
Yetilmezsoy, K., & Saral, A., (2007). Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers. ENVIRONMENTAL MODELING & ASSESSMENT , vol.12, 13-26.
Yetilmezsoy, Kaan, And Arslan SARAL. "Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers," ENVIRONMENTAL MODELING & ASSESSMENT , vol.12, 13-26, 2007
Yetilmezsoy, Kaan And Saral, Arslan. "Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers." ENVIRONMENTAL MODELING & ASSESSMENT , vol.12, pp.13-26, 2007
Yetilmezsoy, K. And Saral, A. (2007) . "Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers." ENVIRONMENTAL MODELING & ASSESSMENT , vol.12, pp.13-26.
@article{article, author={Kaan YETİLMEZSOY And author={Arslan SARAL}, title={Stochastic modeling approaches based on neural network and linear-nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers}, journal={ENVIRONMENTAL MODELING & ASSESSMENT}, year=2007, pages={13-26} }