Convective drying of garlic (Allium sativum L.): Artificial neural networks approach for modeling the drying process
In this study, artificial neural networks (ANNs) was utilized for modeling and the prediction of moisture content (MC) of garlic during drying. The application of a multi-layer perceptron (MLP) neural network entitled feed forward back propagation (FFBP) was used. The important parameters such as ai...
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| Format: | Article |
| Language: | English |
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Ferdowsi University of Mashhad
2018-07-01
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| Series: | مجله پژوهشهای علوم و صنایع غذایی ایران |
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| Online Access: | https://ifstrj.um.ac.ir/article_36711_b1c91fd40e0e1e8247d0460a879507c1.pdf |