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...
| Wydane w: | Philippine Agricultural Scientist, The (Formerly the Philippine Agriculturist) Vol. 95, no. 3 (Sep. 2012), 246-251 |
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| Kolejni autorzy: | , , , |
| Format: | Artykuł |
| Język: | English |
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2012
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| Hasła przedmiotowe: |