B. SABUNCUOĞLU And O. Demirtas, "Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness," JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.36, no.1, pp.105-118, 2021
SABUNCUOĞLU, B. And Demirtas, O. 2021. Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.36, no.1 , 105-118.
SABUNCUOĞLU, B., & Demirtas, O., (2021). Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.36, no.1, 105-118.
SABUNCUOĞLU, BARIŞ, And Oguz Demirtas. "Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness," JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.36, no.1, 105-118, 2021
SABUNCUOĞLU, BARIŞ And Demirtas, Oguz. "Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness." JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.36, no.1, pp.105-118, 2021
SABUNCUOĞLU, B. And Demirtas, O. (2021) . "Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness." JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , vol.36, no.1, pp.105-118.
@article{article, author={BARIŞ SABUNCUOĞLU And author={Oguz Demirtas}, title={Development of an artificial neural network using parametric correlation technique for the determination of machined torsional spring stiffness}, journal={JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY}, year=2021, pages={105-118} }