首页> 外文会议>International Soil Conservation Organization Conference vol.4; 20020526-31; Beijing(CN) >Prediction Model of Soil Nutrients Loss Based on Artificial Neural Network
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Prediction Model of Soil Nutrients Loss Based on Artificial Neural Network

机译:基于人工神经网络的土壤养分流失预测模型。

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摘要

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.
机译:本文在人工神经网络理论的基础上,构建了一个中间层的反向传播神经网络,并给出了其算法。使用该BP网络模型,研究马里河盆地的情况。计算结果表明,基于BP算法的解与基于多元线性回归模型的解是一致的。他们还表明,本文的BP模型是合理的,并且BP算法是可行的。

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