Use of Artificial Intelligence for the Modelling of Drying Processes

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper discusses the opportunities for the use of artificial intelligence methods for the modelling of drying processes. The main emphasis is given to the artificial neural network (ANN) modelling of heat and mass transfer in the course of grain and hay drying. The main conclusion is that a properly selected structure of neural network model can be used to determine the moisture distribution in a fixed-bed dryer. It is important to mention that, in addition to other factors, the selection of training and validation input data for the ANN model has a strong influence on the applicability.

Original languageEnglish
Pages (from-to)848-855
Number of pages8
JournalDrying Technology
Volume31
Issue number7
DOIs
Publication statusPublished - May 2013

Fingerprint

artificial intelligence
drying
Artificial intelligence
Drying
Neural networks
hay
drying apparatus
moisture
mass transfer
beds
education
Moisture
Mass transfer
heat transfer
Heat transfer

Keywords

  • Drying
  • Grain
  • Hay
  • Measurement
  • Neural network

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Physical and Theoretical Chemistry

Cite this

Use of Artificial Intelligence for the Modelling of Drying Processes. / Farkas, I.

In: Drying Technology, Vol. 31, No. 7, 05.2013, p. 848-855.

Research output: Contribution to journalArticle

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