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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Shuang Tian Lixia |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Economy and Management, North China Electric Power University, Baoding, Hebei Province, China (Liu Shuang; Tian Lixia) |
| Abstract | In this paper, we proposed a dynamic analysis model which combines grey GM(1,1)model and Markov chain model as the Grey-Markov model to predict the cargo throughput. Because the forecasting accuracy of single grey GM(1,1)model is lower. The Grey-Markov model can improve the accuracy prediction for the cargo throughput. The new combined model has the advantages of both Grey forecasting method and Markov chains forecasting method. Using the data of Qin Huangdao port is conducted to evaluate the Grey-Markov model which shows that the precision of the Grey-Markov model is better than the Grey model. |
| Starting Page | 973 |
| Ending Page | 976 |
| File Size | 259759 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467300254 |
| e-ISBN | 9781467300247 |
| DOI | 10.1109/FSKD.2012.6234311 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Markov chain Analytical models GM(1,1) model forecasting Predictive models Markov processes Throughput port carogo throughput Data models Forecasting |
| Content Type | Text |
| Resource Type | Article |
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