Neuro-fuzzy modelling of a plant growth in a hydroponic greenhouse

Kazheunikau, M.; Ferreira, P. M.; Ruano, Antonio

http://hdl.handle.net/10400.1/2257

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Authors

Kazheunikau, M.

Ferreira, P. M.

Ruano, Antonio

Abstract(s)

This paper deals with the modeling of dry matter production in a hydroponic greenhouse. Identification techniques are applied for the modeling, based on fuzzy logic and B-spline neural networks, for two growth models. For the design of these models subtractive clustering, the ASMOD algorithm and genetic programming are employed and compared. The developed approach has been successfully applied for the prediction of tomato growth.

Keywords

Nonlinear models Fuzzy modeling Neural networks Genetic programming Greenhouse environmental control

URI

http://hdl.handle.net/10400.1/2257

Citation

Kazheunikau, M.; Ferreira, P.M.; Ruano, A. E. Neuro-Fuzzy Modelling of a Plant Growth in a Hydroponic Greenhouse, Trabalho apresentado em 6th Portuguese Conference on Automatic Control (Controlo 2004), In 6th Portuguese Conference on Automatic Control (Controlo 2004), Faro, 2004.