背景值优化的IANGM(1,1,k)模型

IANGM(1,1,k)Model with Optimized Background Values

对IANGM(1,1,k)模型进行误差分析,基于Simpson公式对背景值进行优化,构建了新的BIANGM(1,1,k)模型;最后结合两类实际应用观测数据建模,验证了BIANGM(1,1,k)模型具有更高的模拟和预测精度,说明新模型具有更高的实用性。

An error analysis was conducted on the IANGM(1,1,k)model,and a new BIANGM(1,1,k)model was constructed by optimizing the background values based on Simpson’s formula.Finally,by combining two types of practical application observation data modeling,it was verified that the BIANGM(1,1,k)model has higher simulation and prediction accuracy,indicating that the new model has higher practicality.