您的位置:首页

详情

基于机器学习的渠道糙率反演

2009-02-25

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。

Inversion of Roughness Parameter of Channels Network Based on Machine Learning

LI Zhao, LI Zhi-lu

Xi'an University of Technology and College of Water Conservancy and Hydroelectric PowerXi'an 710048, China

AbstractA new direct inversion of roughness parameter in channels network is proposed by means of data mining based on machine learning theoryand 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

Key wordsmachine learning; channel; inversion of roughness parameter