基于BP神经网络的土壤养分综合评价模型

Comprehensive Evaluation Model of Soil Nutrient Based on BP Neural Network

以土壤养分指标体系作为神经网络的输入,以土壤养分等级评分作为输出,基于BP神经网络,建立了具有5个隐含层节点、3层网络的土壤养分综合评价模型;以土壤养分指标的各级评价标准作为模型的训练样本和检验样本,利用Matlab软件对BP神经网络进行训练和检验,并对安塞县土壤养分进行综合评价。结果表明BP神经网络对检验样本的模拟输出和期望输出是一致的;对安塞县土壤养分综合评价结果与模糊模式识别、主成分分析结果也是完全一致的。

A comprehensive evaluation model of soil nutrient based on BP neural network was set up,which contained 5 cryptic layer nodes and 3 layers.The rank classification criterion of soil nutrient＇s assessment indicator system was chosen as the training sample and the test sample of the model.The training and the test were made by using Matlab software.The comprehensive evaluation of farmland soil nutrients was conducted in Ansai County.The results showed that simulation result of BP neural network was consistent with the expected result;the simulation result of BP neural network,fuzzy pattern and principal component analysis were exactly the same.