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

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 gen...

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Bibliographic Details
Main Author: Kazheunikau, M. (author)
Other Authors: Ferreira, P. M. (author), Ruano, Antonio (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Nonlinear models
Fuzzy modeling
Neural networks
Genetic programming
Greenhouse environmental control
Online Access:http://hdl.handle.net/10400.1/2257
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2257

Internet

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

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