|
Adeyanju, J. A.
Department of Food Engineering, Ladoke Akintola University of Technology, Ogbomosho, Oyo State, Nigeria.
Nnaji, P. C.
Food Process Systems Engineering Research Group, Department of Chemical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Okolo, B. I.
Food Process Systems Engineering Research Group, Department of Chemical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Oke, E. O.
Food Process Systems Engineering Research Group, Department of Chemical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Nwankwo, H. F.
Food Process Systems Engineering Research Group, Department of Chemical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Ude, C. J.
Food Process Systems Engineering Research Group, Department of Chemical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
ABSTRACT
This study presents Adaptive Neuro-fuzzy Inference
System (ANFIS) technique for the estimation of pre-treated mango kernel
moisture content in a tray dryer. The blanching and drying experiments were
conducted at different drying air temperatures (45 -750C), drying
time (0 - 420 minutes), blanching temperatures (40 - 1000C) and
blanching time (3 - 9 minutes). The experimental input and output (moisture
ratio) data were used to architect different ANFIS structures at different
epoch numbers, input and output Membership Functions (MFs). The best structure
for the estimation was achieved using trap input MF, constant output MF and
1500 epoch number. The Root Mean Squared Error (RMSE) and correlation
coefficient R2 showed 0.0097 and 0.958 respectively for the ANFIS
structure; furthermore, K value that compares ratio of the best ANFIS checking
and training error is 0.87. The results of this investigation show the
capability of ANFIS for the estimation of pre-treated mango kernel moisture
content in a tray dryer.
Keywords: Mango kernel, ANFIS, Moisture content, Blanching, Drying
https://doi.org/10.33922/j.ujet_v5i1_5
|
View: 266 | Download: 13
Published
Saturday, September 14, 2019
Issue
Vol. 5 No. 1, JUNE 2019
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
|
