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Neural models for an intelligent greenhouse - A CMAC global greenhouse model
2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI)
The effectiveness of greenhouse control can be raised by the application of model based intelligent control. The large complexity of the thermal system in the greenhouse calls for a decomposed model. The key element of such model decomposition is the global greenhouse model creating predictions for all important parts of the greenhouse. A Cerebellar Model Articulation Controller (CMAC) model was built and trained to learn the thermal dynamics in the greenhouse and to provide forecasts for thedoi:10.1109/cinti.2011.6108495 fatcat:5n5hd7ngnnasncnoqk4ntcpwva