Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)

Javadikia, Hossein; Naderloo, Leila; Mostafaei, Mostafa

doi:10.1016/j.energy.2016.09.028

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Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)

Author(s): Mostafa Mostafaei , Hossein Javadikia , Leila Naderloo

Publication date Created: November 2016

Publication date (Print): November 2016

Journal: Energy

Publisher: Elsevier BV

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Title: Energy

Abbreviated Title: Energy

Publisher: Elsevier BV

ISSN (Print): 03605442

Publication date Created: November 2016

Publication date (Print): November 2016

Volume: 115

Pages: 626-636

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DOI: 10.1016/j.energy.2016.09.028

SO-VID: 4f53b07e-621f-4629-8ed9-05ba63fe8502

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Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)

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