Moisture Estimation in Cabinet Dryers with Thin-Layer Relationships Using a Genetic Algorithm and Neural Network

Moisture Estimation in Cabinet Dryers with Thin-Layer Relationships Using a Genetic Algorithm and Neural Network

Nowadays, industrial dryers are used instead of traditional methods for drying. When designing dryers suitable for controlling the process of drying and reaching a high-quality product, it is necessary to predict the gradual moisture loss during drying. Few studies have been conducted to compare thi...

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Bibliographic Details
Main Authors: Behzad Maleki, Mahyar Ghazvini, Mohammad Hossein Ahmadi, Heydar Maddah, Shahaboddin Shamshirband
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Mathematics
Subjects:
cabinet dryer
genetic algorithm
neural network
temperature
air velocity
moisture
Online Access:https://www.mdpi.com/2227-7390/7/11/1042

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