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The prediction of soil moisture based on rough set-neural network model

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4 Author(s)
Yan Wen ; Acad. of Eng., Beijing Forestry Univ., Beijing, China ; Liu Wending ; Cheng Zhen ; Kan Jiangming

According to the analysis of meteorological parameters affecting the soil moisture, this paper puts forward a new prediction model of soil moisture based on rough set and neural network. Reduce the attribute of decision table and pick up key factors as input of artificial neural network. neural network is used as a function approximation to train the data set and build estimation model. It is shown that this hybrid method can reduce the training time, improve the learning efficiency, enhance the predication accuracy, and be feasible and effective.

Published in:

Control Conference (CCC), 2010 29th Chinese

Date of Conference:

29-31 July 2010

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