Neural networks in the modeling of drying processes

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Neural network modeling is a reliable tool for determining the moisture and temperature distribution in the course of drying process. In order to set up an appropriate model, sufficient number of measurements should be available for training the neural network. The sensitivity aspect of the neural network model should be taken into account during the training and validation. Generally saying, the NN can be successfully applied especially for process control purposes.

Original languageEnglish
Title of host publicationEncyclopedia of Earth Sciences Series
PublisherSpringer Netherlands
Pages509-511
Number of pages3
DOIs
Publication statusPublished - Jan 1 2011

Publication series

NameEncyclopedia of Earth Sciences Series
VolumePart 4
ISSN (Print)1388-4360
ISSN (Electronic)1871-756X

    Fingerprint

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Farkas, I. (2011). Neural networks in the modeling of drying processes. In Encyclopedia of Earth Sciences Series (pp. 509-511). (Encyclopedia of Earth Sciences Series; Vol. Part 4). Springer Netherlands. https://doi.org/10.1007/978-90-481-3585-1_248