Cite
Prediction and optimization of electrospinning parameters for polymethyl methacrylate nanofiber fabrication using response surface methodology and artificial neural networks.
MLA
Khanlou, Hossein, et al. “Prediction and Optimization of Electrospinning Parameters for Polymethyl Methacrylate Nanofiber Fabrication Using Response Surface Methodology and Artificial Neural Networks.” Neural Computing & Applications, vol. 25, no. 3/4, Sept. 2014, pp. 767–77. EBSCOhost, https://doi.org/10.1007/s00521-014-1554-8.
APA
Khanlou, H., Sadollah, A., Ang, B., Kim, J., Talebian, S., & Ghadimi, A. (2014). Prediction and optimization of electrospinning parameters for polymethyl methacrylate nanofiber fabrication using response surface methodology and artificial neural networks. Neural Computing & Applications, 25(3/4), 767–777. https://doi.org/10.1007/s00521-014-1554-8
Chicago
Khanlou, Hossein, Ali Sadollah, Bee Ang, Joong Kim, Sepehr Talebian, and Azadeh Ghadimi. 2014. “Prediction and Optimization of Electrospinning Parameters for Polymethyl Methacrylate Nanofiber Fabrication Using Response Surface Methodology and Artificial Neural Networks.” Neural Computing & Applications 25 (3/4): 767–77. doi:10.1007/s00521-014-1554-8.