Study on Water Requirement Prediction Model of Wheat by BP Neural Network

被引：3

作者：

Zhang, Bing

Zhang, JianSheng

Huang, WenSheng

Han, Xia

机构：

来源：

ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6 | 2012年 / 518-523卷

关键词：

electricity characteristic; soil moisture; BP neural network; crop water requirement;

D O I：

10.4028/www.scientific.net/AMR.518-523.4778

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

In this article, the prediction model of wheat water requirement was established by optimization algorithm BP neural network, and network topological structure was ascertained. Input-output variable were leafage electricity characteristic and irrigation volume. The BP neural network is trained by 60 sets of experimental data. The result of emulation showed that the BP neural network can solve the uncertainty and non-linear of the model, and the model has high precision.

引用

页码：4778 / 4781

页数：4

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