Name
Abstract | ||
|---|---|---|
To predict the break-up date of the Yellow River, this paper analyzes a couple of factors contributing to the break-up date of the Yellow River, creates a forecast evaluation index system and builds an extenics data mining-based break-up date prediction model. The practical calculation shows that the next year prediction error is 0 and below 5% in two years. The model is feasible to predict the break-up date of the Yellow River. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/FSKD.2013.6816356 | FSKD |
Keywords | Field | DocType |
geophysics computing,prediction model,extenics data mining-based break-up date prediction model,rivers,next year prediction error,yellow river break-up dates,toudaoguai,data mining,break-up date of the yellow river,extenics data mining,forecast evaluation index system,indexes,water resources,predictive models | Data mining,Mean squared prediction error,Computer science,Index system,Ice thickness,Water resources,Break-Up | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhong Li | 1 | 160 | 30.32 |
| Xinfang Chen | 2 | 0 | 0.68 |
| Ai-Ling Wang | 3 | 11 | 4.20 |
| Guoqing Yu | 4 | 0 | 0.34 |