神经网络在土壤养分流失预测中的应用

A Prediction Model of Soil Nutrients Loss Based on Artificial Neural Network

以BP网络(Back Propagation Network)为基础,建立了小流域土壤养分(包括N、P、K3种成分)为输出层,流域出口处的洪量、输沙量及流域的年降雨量为输入层的包含一个中间层的BP网络。经检验,模型输出与多元线性回归模型计算结果一致。模型的建立及求解为水土保持中土壤养分的流失预测研究提供了一种新方法。

On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given. Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consistent with those based multiple-variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible.