Comparison of Mathematical and Neural Network Models in the Estimation of Papaya Fruit Moisture Content
The moisture content of papaya fruit during drying in a cabinet dryer was estimated using both mathematical and neural network models. The effect of air temperatures (40, 50 and 60 °C) and fruit slice thickness (3, 5, 7 mm) on moisture ratio were investigated. A three-layer perceptron neural network...
| Pubblicato in: | Philippine Agricultural Scientist, The (Formerly the Philippine Agriculturist) Vol. 95, no. 3 (Sep. 2012), 246-251 |
|---|---|
| Autore principale: | |
| Altri autori: | , , , |
| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
2012
|
| Soggetti: |