forecastingcontainerthroughputofqingdaoportwithahybridmodel
文献类型：期刊论文
| 作者 | Huang Anqiang1; Lai Kinkeung2; Li Yinhua4; Wang Shouyang3
|
| 刊名 | journalofsystemsscienceandcomplexity
 |
| 出版日期 | 2015 |
| 卷号 | 28期号:1页码:105 |
| ISSN号 | 1009-6124 |
| 英文摘要 | This paper proposes a hybrid forecasting method to forecast container throughput of Qingdao Port. To eliminate the influence of outliers, local outlier factor (lof) is extended to detect outliers in time series, and then different dummy variables are constructed to capture the effect of outliers based on domain knowledge. Next, a hybrid forecasting model combining projection pursuit regression (PPR) and genetic programming (GP) algorithm is proposed. Finally, the hybrid model is applied to forecasting container throughput of Qingdao Port and the results show that the proposed method significantly outperforms ANN, SARIMA, and PPR models. |
| 语种 | 英语 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/45246]  |
| 专题 | 系统科学研究所 |
| 作者单位 | 1.北京航空航天大学 2.香港城市大学 3.中国科学院数学与系统科学研究院 4.中国科学院 |
| 推荐引用方式 GB/T 7714 | Huang Anqiang,Lai Kinkeung,Li Yinhua,et al. forecastingcontainerthroughputofqingdaoportwithahybridmodel[J]. journalofsystemsscienceandcomplexity,2015,28(1):105. |
| APA | Huang Anqiang,Lai Kinkeung,Li Yinhua,&Wang Shouyang.(2015).forecastingcontainerthroughputofqingdaoportwithahybridmodel.journalofsystemsscienceandcomplexity,28(1),105. |
| MLA | Huang Anqiang,et al."forecastingcontainerthroughputofqingdaoportwithahybridmodel".journalofsystemsscienceandcomplexity 28.1(2015):105. |
入库方式： OAI收割
来源：数学与系统科学研究院
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