改进的灰色拓扑预测在指导考生填报志愿中的应用

The Application of the Improved Gray Topology Prediction in Guiding Candidates to Declare Their Voluntary

改进的灰色拓扑预测结合了GM(1,1)模型、拓扑预测与最小二乘法.它通过对一些具有波动性的少量数据进行分析得出比较接近实际的预测值,较大程度上减少了误差.本文通过使用该算法,很好地对高考考生填报志愿时要报考学校的下一年分数进行了预测,验证了它的实际运用价值.

Combined with GM（1,1） model,topology prediction and least squares method,the prediction topology was improved.Through analyzing some of the small amount of wavy data,it can get the predictive value which is closer to the actual analysis,and reduce the error in a large degree.This algorithm can well predict the scores of the following year for the candidates when they apply for voluntary reporting,and its application value was verified.