基于GM(1,1)模型的公式发现方法在目标识别中的应用

The application of GM(1,1) model-based formula found in target recognition

对目标进行识别时,通常面临识别特征量数据的多维性、间断性问题,这对有效识别目标造成了较大困难.将灰色识别中的GM(1,1)模型与数据挖掘中的公式发现方法结合,用于目标识别,提出了具体的算法模型,并利用实际数据作为算例,验证了识别的有效性.

When identifying the target, we usually face a problem with the multidimensional characters and intermittent of the amount of data. This causes great difficulty in the effective identification of target. This paper combines the formula found in the gray identification of GM （1,1） model and data mining methods and puts forward a specific algorithm model and the actual data as the example. The result acquired shows that it is effective.