期刊论文详细信息
| Gradevinar | |
| Comparison of supervised learning methods for prediction of monthly average flow | |
| 关键词: long-term planning; monthly average flow; autoregressive model; supervised learning; | |
| DOI : 10.14256/JCE.2102.2017 | |
| 学科分类:建筑学 | |
| 来源: Hrvatsko Drustvo Gradevinskih Inzenjera | |
PDF
|
|
【 摘 要 】
Long-term planning of water engineering systems requires knowledge of long-term availability of water, most often in the form of monthly average flow information. Knowledge from stochastic hydrology is most often applied, although possible scenarios also
【 授权许可】
Others
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201909028418659ZK.pdf | 945KB |
PDF