Artificial neural network and response surface methodology approaches for optimization of parameters for an air-jet sunflower seeds remover machine

• Autorzy: Mirzabe A.H. , Chegini G.R. , Massah J. , Mansouri A. , Khazaei J.
• Języki publikacji: EN

Abstrakty

EN

Słowa kluczowe

EN

artificial neural network; response surface methodology; Helianthus annuus; sunflower; sunflower seed; parameter optimization; operational parameter; impingement jet fluidization

• Wydawca: -
• Czasopismo: Electronic Journal of Polish Agricultural Universities. Series Agronomy
• Rocznik: 2020
• Tom: 23
• Numer: 2
• Opis fizyczny: http://www.ejpau.media.pl/volume23/issue2/art-01.html

Twórcy

autor

Mirzabe A.H.

• Department of Mechanical Engineering of Biosystems, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran

autor

Chegini G.R.

• Department of Mechanical Engineering of Biosystems, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran

autor

Massah J.

• Department of Mechanical Engineering of Biosystems, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran

autor

Mansouri A.

• Department of Mechanical Engineering of Biosystems, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran

autor

Khazaei J.

• Department of Mechanical Engineering of Biosystems, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran

Identyfikatory

DOI

10.30825/5.EJPAU.185.2020.23.2