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Prediction of Groundwater Quality Using Combined Grey Neural Network Model

机译:利用灰色神经网络模型预测地下水质量

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摘要

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:鉴于灰色方法只能预测大约和人工神经网络无法预测未来倾向的倾向,提出了一种新的灰色神经网络模型。本文主要分析地下水质量,基于灰色神经网络方法基于一个区域的地下水监测数据建立了它们的数学模型。它预测未来这一领域的地下水质量的各种趋势。案例研究表明,该模型的精度相当高,其普及意义优于其他模型,并且当用于预测地下水质量分析时具有一些实用的价值。

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