Neural models for an intelligent greenhouse - The heating

P. Eredics, T. P. Dobrowiecki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

High quality greenhouse control requires accurate modeling of the greenhouse as a thermal system along with all the influences affecting it. A decomposed model is the only way to tackle the complexity of such a system. A very important module of the decomposition is the heating system, due to its high impact on the overall financial cost of the greenhouse. This paper inspects the theoretical limits of heating modeling considering the stochastic circumstances present in the data measured in an industrial greenhouse. After that various models of different complexity and structure are examined. The best performance is produced by the usage of two neural networks separately for the warming and cooling heating pipe process.

Original languageEnglish
Title of host publication11th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2010 - Proceedings
Pages63-68
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event11th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2010 - Budapest, Hungary
Duration: Nov 18 2010Nov 20 2010

Publication series

Name11th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2010 - Proceedings

Other

Other11th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2010
CountryHungary
CityBudapest
Period11/18/1011/20/10

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Eredics, P., & Dobrowiecki, T. P. (2010). Neural models for an intelligent greenhouse - The heating. In 11th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2010 - Proceedings (pp. 63-68). [5672271] (11th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2010 - Proceedings). https://doi.org/10.1109/CINTI.2010.5672271