Optimized GM (1, 1) based on Romber algorithm and quadratic interpolation method

Bo Li, Shengrong Zhao, Ling Fang
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引用次数: 1

Abstract

This text analyzed the reason of generating error of GM (1, 1), from the integral calculus angle discrete GM (1, 1). A kind of method putting forward making use of Romberg integral calculus formula and quadratic interpolation method to construct the background value of the model, raised simulation and prediction precision of GM(1,1), and the actual example verify the feasibility and effectiveness of this method.
基于Romber算法和二次插值法对GM(1,1)进行优化
本文从积分角度分析了GM(1,1)产生误差的原因,提出了一种利用Romberg积分公式和二次插值法构造模型背景值的方法,提高了GM(1,1)的仿真和预测精度,并通过实例验证了该方法的可行性和有效性。
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