M. Das Et Al. , "Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results," JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.34, no.4, pp.2203-2213, 2019
Das, M. Et Al. 2019. Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.34, no.4 , 2203-2213.
Das, M., Balpetek, N., Akpinar, E. K., & Akpinar, S., (2019). Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.34, no.4, 2203-2213.
Das, MEHMET Et Al. "Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results," JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.34, no.4, 2203-2213, 2019
Das, MEHMET Et Al. "Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results." JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.34, no.4, pp.2203-2213, 2019
Das, M. Et Al. (2019) . "Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results." JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.34, no.4, pp.2203-2213.
@article{article, author={MEHMET DAŞ Et Al. }, title={Investigation of wind energy potential of different provinces found in Turkey and establishment of predictive model using support vector machine regression with the obtained results}, journal={JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY}, year=2019, pages={2203-2213} }