A greenhouse control with feed-forward and recurrent neural networks

@article{Fourati2007AGC,
  title={A greenhouse control with feed-forward and recurrent neural networks},
  author={Fathi Fourati and Mohamed Chtourou},
  journal={Simulation Modelling Practice and Theory},
  year={2007},
  volume={15},
  pages={1016-1028}
}
Greenhouses are classified as complex systems, so it is difficult to implement classical control methods for this kind of process. In our case we have chosen neural network techniques to drive the internal climate of a greenhouse. An Elman neural network has been used to emulate the direct dynamics of the greenhouse. Based on this model, a multilayer feedforward neural network has been trained to learn the inverse dynamics of the process to be controlled. The inverse neural network has been… CONTINUE READING
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