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Prediction of Groundwater Quality Using Combined Grey Neural Network Model

机译:组合灰色神经网络模型在地下水水质预测中的应用

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In view of the defect that the grey method can only predict the tendency approximately and artificial neural network can not predict the future tendency really, a new combined grey neural network model was proposed. This paper mainly analyses the groundwater quality and establishes their mathematical model based on the groundwater monitoring data of one area by combined grey neural network method. It predicts various tendency of groundwater quality in this area in the future. Case study indicates that precision of the model is rather high and its popularization significance is better than the other models, and has some practical value when being used in the prediction of groundwater quality analysis.
机译:针对灰色法只能近似预测趋势,人工神经网络不能真实预测未来趋势的缺陷,提出了一种新的组合灰色神经网络模型。本文主要对地下水水质进行分析,并结合灰色神经网络方法,根据一个地区的地下水监测数据建立地下水数学模型。它预测了该地区未来地下水水质的各种趋势。实例研究表明,该模型的精度较高,推广意义优于其他模型,在用于地下水水质分析预测中具有一定的实用价值。

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