基于灰色神经网络模型的水质预测应用研究

Study on Grey Model Combined with Artificial Neural Networks Model for Water Quality Forecast

将灰色模型和神经网络模型进行组合建立灰色神经网络模型,分别用灰色模型、神经网络模型和组合模型对永定河流域官厅水库断面的水质检测指标DO的浓度值进行模拟预测.结果表明,组合预测模型的模拟预测精度高于两种单一模型的预测精度.

Grey model and artificial neural neural networks model. Two single models, networks model were combined to construct grey grey model and artificial neural networks model, and grey neural network model were used to forecast the DO concentration in Guanting reservoir of Yongding River. The forecast accuracy of the three models was compared and the results show that combined forecast model outperforms the two single models,