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Calibration study of moisture production parameters model based on neural network by LM algorithm

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4 Author(s)
Liu Ling ; Hydraulic Eng. Dept., Tanjin Agric. Univ., Tianjin, China ; Zhao Yong-zhi ; Wang Lei ; Wang Yang-ren

The is a kind of effective method of water-saving irrigation. Crop moisture production parameters model provide relationship between the output and the evapotranspiration. The article Using improved BP neural network based LM algorithm calibrate Jensen model, and solve moisture sensitivity by test results of winter wheat moisture production parameters in Shanxi Province Xiaohe area. Using this method to solve moisture sensitivity has higher precision and can provide technical guidance to inadequately irrigation.

Published in:

New Technology of Agricultural Engineering (ICAE), 2011 International Conference on

Date of Conference:

27-29 May 2011