期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：9
页码：343-350
出版社：SERSC
摘要：The water production function model ofrice based on RAGA-BP neural network model is established by taking the advantages of RAGA-BP neural network model (high ability in solving nonlinear problem, high rate of convergence, etc.). Compared with traditional Jensen model, this method is featured by high flexibility and intelligence, avoiding the inconvenience caused by pre-establishing mathematical expression. Compared with classical BP neural network model, this method can overcome the problem in local minimum value and low rate of convergence. The deficient irrigation experiment ofrice in2015 shows that RAGA-BP neural network model has high adaptability during the process of fitting for solution of water production function ofrice; the accuracy and speed are high, which provides new effective method for calculation of water production function ofrice.
关键词：Rice; water production function; RAGA;-;BP neural network model; Jensen ;model; BP neural network model
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