It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.
对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。
By using neural networks as the approach for whitening system cloud gray model, the system cloud gray neural network models SCGNNM (1, 1), were proposed in this paper.
利用人工神经网络的方法实现系统云灰色模型的参数白化，提出了系统云灰色神经网络模型SCGNNM(1,1)，并给出了相应的学习算法。
Gray relational analysis and BP neural network to model the samples was established in the work area for optimal formation bit computing model.
采用灰色关联分析法和BP神经网络法对样本进行建模，建立了适用于工区地层钻头优选的计算模型。
In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
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