| 基于机器学习的渠道糙率反演 |
| |
| 引用本文： | 李钊,李智录.基于机器学习的渠道糙率反演[J].科技成果管理与研究,2009(2):38-40. |
| |
| 作者姓名： | 李钊 李智录 |
| |
| 作者单位： | 西安理工大学水利水电学院,陕西,西安,710048 |
| |
| 摘 要： | 引进机器学习的思想，通过数据挖掘的手段，提出了一种新的渠道糙率直接反演方法，并应用于石头河水库灌区水流模拟计算。结果表明，计算水位于实测水位过程基本吻合。
|
| 关 键 词： | 机器学习 渠道 糙率反演 |
Inversion of Roughness Parameter of Channels Network Based on Machine Learning |
| |
| LI Zhao,LI Zhi-lu.Inversion of Roughness Parameter of Channels Network Based on Machine Learning[J].Management and Research on Scientific & Technological Achievements,2009(2):38-40. |
| |
| Authors: | LI Zhao LI Zhi-lu |
| |
| Institution: | (Xi＇an University of Technology and College of Water Conservancy and Hydroelectric Power, Xi＇an 710048. China) |
| |
| Abstract: | A new direct inversion of roughness parameter in channels network is proposed by means of data mining based on machine learning theory, and applied to flow calculation for the Shitou River. The variation of the water level calculated by the present method is in agreement with the measured data. |
| |
| Keywords: | machine learning channel inversion of roughnessparameter |
| 本文献已被 维普 万方数据 等数据库收录！ |
