Affiliations: [a] College of Science, Inner Mongolia Agricultural University, Hohhot, P.R. China | [b] College of Material Science and Art Design, Inner Mongolia Agricultural University, Hohhot, P.R. China | [c] Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, P.R. China
Correspondence:
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Corresponding authors. Jun Zhang, College of Science, Inner Mongolia Agricultural University, Hohhot, P.R. China. Email: [email protected]; Huaqiong Duo, College of Material Science and Art Design, Inner Mongolia Agricultural University, Hohhot, P.R. China. E-mail: [email protected].
Abstract: Non-equidistant GM(1,1) (abbreviated as NEGM) model is widely used in building settlement prediction because of its high accuracy and outstanding adaptability. To improve the building settlement prediction accuracy of the NEGM model, the fractional-order non-equidistant GM(1,1) model (abbreviated as FNEGM) is established in this study. In the modeling process of the FNEGM model, the fractional-order accumulated generating sequence is extended based on the first-order accumulated generating sequence, and the optimal parameters that increase the prediction precision of the model are obtained by using the whale optimization algorithm. The FNEGM model and the other two grey prediction models are applied to three cases, and five prediction performance indexes are used to evaluate the prediction precision of the three models. The results show that the FNEGM model is more suitable for predicting the settlement of buildings than the other two grey prediction models.
Keywords: Non-equidistant GM(1, 1) model, fractional-order accumulation, grey prediction model
