分析数据处理的现状后，运用灰色系统理论，建立了数据处理的等间距化GM(1,1)模型，给出了精度检验方法。
Based on grey system, an equal spaced GM (1, 1) modeling and method to data processing in engineering field was put forward, the method of precision inspection was introduced.
采用归一化数据处理方法，选择神经网络的训练样本，建立基于BP神经网络的居民消费价格指数预测的数学模型。
Adopted the data processing method of the normalization, choose the training sample of the neural network, the mathematical model of the consumer price index based on BP nerve network predicts set up.
采用归一化数据处理方法，选择神经网络的训练样本，建立基于BP神经网络的居民消费价格指数预测的数学模型。
Adopted the data processing method of the normalization, choose the training sample of the neural network, the mathematical model of the consumer price index based on BP nerve network predicts set up.
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