摘要
基于对灰色Verhulst模型的建模机理和数据特性进行了分析,表明可以通过适当的线性变换能够使变换后数据更适合灰色Verhulst模型的特征.根据两个应用实例说明利用适当的线性变换后建立的灰色Verhulst模型的精度有明显的降低.实例也说明了利用原始数据的线性变换建立Verhulst模型的可行性.
Based on the analysis of the modeling mechanism and data characteristics of grey Verhulst model,it is shown that the transformed data can be more suitable for the characteristics of grey Verhulst model through appropriate linear transformation.According to two application examples,the accuracy of grey Verhulst model established by appropriate linear transformation is obviously improved.The examples also show the feasibility of establishing Verhulst model by linear transformation of original data.
作者
王丰效
WANG Feng-xiao(College of Mathematics and Statistics,Kashi University,Kashi 844000,China)
出处
《数学的实践与认识》
北大核心
2020年第6期190-194,共5页
Mathematics in Practice and Theory
基金
国家社会科学基金项目(11XTJ001)
喀什大学高层次人才项目(GCC15ZK-007)
