两种新的灰色系统模型及其在滑坡预测中的应用

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS

Journal of Control Science and Engineering Pub Date : 2016-11-01 DOI:10.1155/2016/5727160

Deyi Ma, Jian-lin Li

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引用次数: 1

摘要

对于小样本差信息，灰色模型是一种较好的预测模型。然而，原始数据的模拟曲线与平移数据的模拟曲线并不一致。本文提出了两种新的灰色系统模型，即广义灰色模型和广义离散灰色模型。通过与灰色模型的比较，证明了新灰色模型的仿真曲线与原始数据的仿真曲线是一致的，并通过实际算例进行了验证。

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Two Novel Grey System Models and Their Applications on Landslide Forecasting

For the small sample poor information, grey model is one of the good forecasting models. However, the simulation curve of original data is not consistent with that of the data by translations. In this paper, we present two novel grey system models, that is, generalized grey model and generalized discrete grey model. Compared with grey model, we prove that the simulation curve of original data is consistent with that of the new data by translations for the novel grey model, which was also demonstrated by the results of practical numerical examples.

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来源期刊

Journal of Control Science and Engineering AUTOMATION & CONTROL SYSTEMS-

CiteScore

4.70

自引率

0.00%

发文量

审稿时长

19 weeks

期刊介绍： Journal of Control Science and Engineering is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of control science and engineering.