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...

詳細記述

書誌詳細
出版年:Philippine Agricultural Scientist, The (Formerly the Philippine Agriculturist) Vol. 95, no. 3 (Sep. 2012), 246-251
第一著者: Yousefi, Alireza
その他の著者: Asadi, Vahid, Nassiri, Seyed Mehdi, Niakousari, Mehrdad, Aghdam, Shahla Khodabakhsh
フォーマット: 論文
言語:English
出版事項: 2012
主題: