Dynamic Modeling of the Drying Process of Corn Grains using Neural Networks

Dynamic Modeling of the Drying Process of Corn Grains using Neural Networks

This study examines the model development of the drying process of corn grains as a dynamic system. The appropriate use of a dynamic model for the drying process of corn grains could lead to an effective method for optimizing the system. The optimal control strategy can be determined by predicting t...

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Bibliographic Details
Main Authors: Galih Kusuma Aji, Wildan Fajar Bachtiar, Henry Yuliando, Endy Suwondo
Format: Article
Language:English
Published: Universitas Gadjah Mada 2019-09-01
Series:Agritech
Subjects:
drying temperature
neural networks
drying process
dynamic model
the rate of water loss
Online Access:https://jurnal.ugm.ac.id/agritech/article/view/44483

Internet

https://jurnal.ugm.ac.id/agritech/article/view/44483

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