| BP-ANN模型在地下水动态预测中的应用研究 |
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| 引用本文： | 李文超,胡天然,魏永霞.BP-ANN模型在地下水动态预测中的应用研究[J].东北农业大学学报,2009,40(9). |
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| 作者姓名： | 李文超 胡天然 魏永霞 |
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| 作者单位： | 1. 黑龙江省水土保持科学研究所,黑龙江,宾县,150400
2. 东北农业大学水利与建筑学院,哈尔滨,150030 |
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| 摘 要： | 地下水动态预测的研究是地下水评价的重要内容,而因受降水、开采、蒸发等多种因素制约,使地下水水位在时序上常表现出复杂的非线性特征。文章采用人工神经网络方法对某农场的地下水动态进行预测。结果表明,该方法具有很高的拟合精度,是一种具有广泛应用价值的新方法。
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| 关 键 词： | 地下水水位 动态预测 人工神经网络 |
Application of the model of BP-ANN in the prediction of dynamic state of ground water |
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| LI Wenchao,HU Tianran,WEI Yongxia.Application of the model of BP-ANN in the prediction of dynamic state of ground water[J].Journal of Northeast Agricultural University,2009,40(9). |
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| Authors: | LI Wenchao HU Tianran WEI Yongxia |
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| Abstract: | The research on prediction of dynamic state of ground water was the important parts of ground water evaluation, because some influencing factors such as precipitation, exploitation and evaporation etc, which made the ground water level show the non-linear character on time sequence. The method of Artificial Neural Networks was adopted to predict the dynamic state of ground water of one farm in this article. The results showed that the accuracy of fitting was high considerably with the this method, which concluded that this method had high fitting precision and was a new method with extensive application value. |
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| Keywords: | water levelofground water prediction ofdynamic state ArtificialNeuralNetworks |
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