基于GCHM_WBO的非等距GM(1,1)模型及其在腐蚀速率预测中的应用

Y. Zhi, Dongmei Fu, Hanling Wang
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引用次数: 8

摘要

GM(1,1)模型广泛应用于腐蚀速率预测领域。本文提出了一个将非等距GM(1,1)模型与GCHM_WBO (GCHM,广义反调和均值;WBO(弱化缓冲算子),为解决大量非等距腐蚀速率的死锁难以建立合理的预测模型,提高预测精度。它包含一个变形参数,从而有效地控制弱化算子的强度。提出了一种基于给定样本计算变形参数的算法。最后,将该模型应用于广州试验站同一系列6种钢的腐蚀速率预测,预测第15年腐蚀速率的相对误差在8.89%以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-equidistant GM(1,1) model based on GCHM_WBO and its application to corrosion rate prediction
GM(1,1) model is widely used in the field of corrosion rate prediction. In this paper, we present a new model, which combines the non-equidistant GM(1,1) model with GCHM_WBO (GCHM, Generalized Contra-Harmonic Mean; WBO, Weakening Buffer Operator), to solve the deadlock that a large number of non-equidistant corrosion rate is difficult to establish a reasonable prediction model and to improve prediction accuracy. It contains a morphing parameter, so as to effectively control the intensity of the weakening operator. The present paper proposes an algorithm to calculate morphing parameter based on a given sample. Finally, the model is applied to predict the corrosion rate of the same series of 6 steels at Guangzhou Experimental Station, and relative error of prediction is within 8.89% to predict the corrosion rate of the 15th year.
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