求翻译：灰色预测模型需要的样本数据少，一般认为，用于建立灰色模型的原始数据个数应不少于 5个，中间缺失的数据可采用内插方法予以补齐，但所取数据必须等时距，相邻，不得有跳跃。是什么意思？

Sample data by the gray prediction model is generally believed that the number of raw data used to establish a gray model should not less than five, the middle of the missing data can be interpolated be filled, but to take the data must be such as time-distance adjacent should not jump.

Gray forecast model is required to sample less data, it is generally considered that for a gray model of the original data should be a number less than 5 in the middle of the missing data interpolation Method can be used to be filled, but the data must be, for example, when you pitch, the adjacent,

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Samples of grey forecasting model requires less data, are thought to number used to establish the grey model of the original data should be not less than 5, missing data interpolation methods may be used in the middle is filled, but taken from when the data must be adjacent, there shall be no jump.

The gray forecast model needs the sample data are few, believed generally, uses in establishing the pessimistic model the primary data integer to be supposed many in 5, the intermediate loss data may use the interpolation method to make up neat, but takes the data to have to wait for the time curve,