Najafi, B.; Faizollahzadeh Ardabili, S.; Mosavi, A.; Shamshirband, S.; Rabczuk, T.
An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis. Energies 2018, 11, 860.
https://doi.org/10.3390/en11040860
AMA Style
Najafi B, Faizollahzadeh Ardabili S, Mosavi A, Shamshirband S, Rabczuk T.
An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis. Energies. 2018; 11(4):860.
https://doi.org/10.3390/en11040860
Chicago/Turabian Style
Najafi, Bahman, Sina Faizollahzadeh Ardabili, Amir Mosavi, Shahaboddin Shamshirband, and Timon Rabczuk.
2018. "An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis" Energies 11, no. 4: 860.
https://doi.org/10.3390/en11040860
APA Style
Najafi, B., Faizollahzadeh Ardabili, S., Mosavi, A., Shamshirband, S., & Rabczuk, T.
(2018). An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis. Energies, 11(4), 860.
https://doi.org/10.3390/en11040860