Choice of Rbf Model Structure for Predicting Greenhouse inside Air Temperature
نویسنده
چکیده
The application of the radial basis function neural network to greenhouse inside air temperature modelling has been previously investigated by the authors. In those studies, the inside air temperature is modelled as a function of the inside relative humidity and of the outside temperature and solar radiation. Several training and learning methods were compared and the application of the Levenberg-Marquardt optimisation method was found to be the best way to determine the neural network parameters. A second-order model structure previously selected in the context of dynamic temperature models identification, was used. The model is intended to be incorporated in a real-time predictive greenhouse environmental control strategy. It is now relevant to question if the model structure used so far, selected in a different modelling framework, is the most correct in some sense. In this paper the usefulness of correlation-based model validity tests is addressed in order to answer the question mentioned above. Copyright c 2000 IFAC
منابع مشابه
ارزیابی کارایی سیستم سرمایش فن و پد گلخانهای در منطقه محلات
For production of cut roses, as the most favorable and profitable crop in floriculture industry, optimization of growing conditions, especially temperature, is very important in all year round. This study was carried out to evaluate the efficiency of fan and pad cooling system of a cut rose research greenhouse with plastic tunnel structure, as a sample of arid and semiarid greenhouses of Iran. ...
متن کاملExperimental and Numerical Investigation of Air Temperature Distribution inside a Car under Solar Load Condition
In this work both experimental and numerical analysis are carried out to investigate the effect of solar radiation on the cabin air temperature of Maruti Suzuki Celerio car parked for 90 min under solar load condition. The experimental and numerical analysis encompasses on temperature increment of air at various locations ins...
متن کاملThermography and Sonic Anemometry to Analyze Air Heaters in Mediterranean Greenhouses
The present work has developed a methodology based on thermography and sonic anemometry for studying the microclimate in Mediterranean greenhouses equipped with air heaters and polyethylene distribution ducts to distribute the warm air. Sonic anemometry allows us to identify the airflow pattern generated by the heaters and to analyze the temperature distribution inside the greenhouse, while the...
متن کاملModeling and Simulation of Evaporative Cooling System in Controlled Environment Greenhouse
Greenhouses are used for the main purpose of improving the environmental conditions in which plants are grown. There are many parameters can affect the growing of plants inside greenhouse, such as air temperature and relative humidity. The adjustment of these parameters is achieved by selecting appropriate control actions. This work proposes a controlling technique for greenhouse indoor tempera...
متن کاملExpert Control Based on Neural Networks for Controlling Greenhouse Environment
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...
متن کامل