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应用BP神经网络分析作物产量与土壤空间分布信息之间关系.把人工神经网络技术引入回归分析过程,通过对给定样本的学习,不断调整网络权值,实现在变量与自变量之间的非线性映射,从而达到确定土壤特性与作物产量之间因果关系的目的.研究结果表明,基于BP神经网络的回归分析方法,具有较好的估计结果.
BP neural network is used to analyze the relationship between crop yield and soil spatial distribution information.The artificial neural network technology is introduced into the regression analysis process and the network weights are adjusted continuously by learning a given sample so as to realize the transformation between the variables and the independent variables Linear mapping, so as to achieve the purpose of determining the causality between soil characteristics and crop yield.The research results show that the regression analysis method based on BP neural network has better estimation results.