CAĞCAĞ YOLCU, Ö. Et Al. 2021. New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks. JOURNAL OF CLEANER PRODUCTION , vol.311 .

CAĞCAĞ YOLCU, Ö., TEMEL, F. A., & KULEYİN, A., (2021). New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks. JOURNAL OF CLEANER PRODUCTION , vol.311.

CAĞCAĞ YOLCU, ÖZGE, FULYA AYDIN TEMEL, And AYŞE KULEYİN. "New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks," JOURNAL OF CLEANER PRODUCTION , vol.311, 2021

CAĞCAĞ YOLCU, ÖZGE C. Et Al. "New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks." JOURNAL OF CLEANER PRODUCTION , vol.311, 2021

CAĞCAĞ YOLCU, Ö. TEMEL, F. A. And KULEYİN, A. (2021) . "New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks." JOURNAL OF CLEANER PRODUCTION , vol.311.

@article{article, author={ÖZGE CAĞCAĞ YOLCU Et Al. }, title={New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks}, journal={JOURNAL OF CLEANER PRODUCTION}, year=2021}