Name
Title | ||
|---|---|---|
Artificial neural network modelling of moisture content evolution for convective drying of cylindrical quince slices |
Abstract | ||
|---|---|---|
•Multiple ANN topologies are used for predicting quince slices moisture content.•Overfitting extent was evaluated by a k-fold cross validation iteration procedure.•Cross validation score metrics and statistical evaluation indices were estimated.•Proposed model demonstrates enhanced prediction abilities for unseen training data. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2019.105074 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Quince drying,Neural networks,Convective drying,Moisture content | Journal | 172 |
ISSN | Citations | PageRank |
0168-1699 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| V.K. Chasiotis | 1 | 0 | 0.34 |
| D.A. Tzempelikos | 2 | 0 | 0.34 |
| A.E. Filios | 3 | 0 | 0.34 |
| K.P. Moustris | 4 | 0 | 0.34 |