Evolutionary multiobjective design of radial basis function networks for greenhouse environmental control

In this work a multiobjective genetic algorithm is applied to the identi cation of radial basis function neural network coupled models of humidity and temperature in a greenhouse. Models are built as one-step-ahead predictors and then used iteratively to produce long term predictions. The number of...

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Bibliographic Details
Main Author: Ferreira, P. M. (author)
Other Authors: Ruano, Antonio (author), Fonseca, C. M. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Genetic Algorithms
Greenhouse Environmental Control
Radial Basis Functions
Temperature Prediction
Humidity Prediction
Online Access:http://hdl.handle.net/10400.1/2344
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2344

Internet

http://hdl.handle.net/10400.1/2344

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