莜麦播种方式决策的BP神经网络模型

阐述了BP神经网络基本原理,并在此基础上,将神经网络理论应用于农业生产决策之中。以莜麦播种方式决策为例,通过对产生式规则的分析导出神经网络输入、输出单元数,经过多次实验确定合适的隐含层单元数,并采用MATLAB语言对所构建的网络进行训练。仿真结果证明,这种方法基本可以达到预期的目标。

The Model of BP ANN in Decision-making of The Mode of Sowing Naked Oats Seeds

BP neural network has the robustness,associated memory and nonlinear mapping. This paper elaborates the rudimental theory of NN and takes decision-making of the mode of so- wing naked oats seeds as example.We get the numbers of input cells and output cells by analy- zing the production-pattern rules and the numbers of cells in connotative layer through repetitious experiments.After all of these,we trained the NN that we had gotten with MATLAB.The em- ulational result proved that the means could arrive at the expectant target.