Abstract : Depending upon the nonlinear feature between neural
units in artificial neural networks (ANN), artificial neural network was
used to develop a model for greenhouse inside air temperature
management. Data was collected and processed for training and simulation
of temperature model. The design of the network structure and transfer
function was also discussed. Because heuristic logic of greenhouse
environment exists, a simple ANN controller does not perfect complex
task, the algorithm of ANN with heuristic logic is developed.
Experimental result indicated that the performance of the new control
scheme meet the requirement of greenhouse environment
control.
https://hal.inria.fr/hal-01061725 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Monday, September 8, 2014 - 1:09:35 PM Last modification on : Thursday, March 5, 2020 - 5:42:16 PM Long-term archiving on: : Tuesday, December 9, 2014 - 11:54:46 AM
Le Du. Expert Control Based on Neural Networks for
Controlling Greenhouse Environment. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. pp.126-132, ⟨10.1007/978-3-642-12220-0_20⟩. ⟨hal-01061725⟩