B. Demirbay Et Al. , "Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films," EXPERT SYSTEMS WITH APPLICATIONS , vol.207, 2022
Demirbay, B. Et Al. 2022. Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films. EXPERT SYSTEMS WITH APPLICATIONS , vol.207 .
Demirbay, B., Bayram Kara, D., & Uğur, Ş., (2022). Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films. EXPERT SYSTEMS WITH APPLICATIONS , vol.207.
Demirbay, Baris, Duygu Bayram Kara, And Şaziye Uğur. "Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films," EXPERT SYSTEMS WITH APPLICATIONS , vol.207, 2022
Demirbay, Baris Et Al. "Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films." EXPERT SYSTEMS WITH APPLICATIONS , vol.207, 2022
Demirbay, B. Bayram Kara, D. And Uğur, Ş. (2022) . "Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films." EXPERT SYSTEMS WITH APPLICATIONS , vol.207.
@article{article, author={Baris Demirbay Et Al. }, title={Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films}, journal={EXPERT SYSTEMS WITH APPLICATIONS}, year=2022}