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Elementary Application of the BP Neural Network Model in Computing Annual Natural Runoff at Huaibin Station

机译:BP神经网络模型在淮滨站年自然径流计算中的初步应用

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The process of natural runoff in a basin is a rather complicated physical system and there exists a multi-dimensional and non-linear map relation between runoff and rainfall as well as evaporation. In this paper, a method is presented for computing annual natural runoff by a neural network BP model. As a case, the model is satisfactorily structured and effectively used in computation of annual natural runoff on the basis of precipitation and evaporation at Huaibin Station on the upstream of Huai river. The results show that the BP model not only has a certain simulation accuracy and but also gives a new approach on researching runoff quantity.
机译:流域的自然径流过程是一个相当复杂的物理系统,径流与降雨以及蒸发之间存在多维非线性关系。本文提出了一种利用神经网络BP模型计算年自然径流量的方法。以淮河上游淮滨站的降水量和蒸发量为基础,可以较好地构造该模型,并将其有效地用于年自然径流的计算。结果表明,BP模型不仅具有一定的模拟精度,而且为研究径流量提供了一种新的方法。

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