自组织模式识别与经济预测

基于自组织数据挖掘方法与经济预测原则,提出了自组织模式识别方法。该方法的主要特点是在几个相似模式的合成中使用了数据分组处理方法自动合成技术,实际应用于经济预测时比传统意义上的预测方法方便。实例表明了它在经济预测中的有效性。同时,使用增加同类经济对象样本数据的方法,解决了样本数据不足的问题.

Self-Organizing Pattern Recognition and Economy Forecasting

In this paper, the self-organizing pattern recognition method is presented based on the self-organizing data mining method and the principle of economy forecasting. The peculiarity of SPR differs from other pattern recognition methods is Using group method of data handing synthesizing technique in the combination of several similar patterns. This method is more convenient than common forecasting methods when applying to economy forecasting .The example shows that this method is effective in economy forecasting. At the same time, by adding samples of same type, it has solved the problem of small data samples.