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。
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.
出处
《科技成果管理与研究》
2009年第2期38-40,共3页
Management And Research On Scientific & Technological Achievements
关键词
机器学习
渠道
糙率反演
machine learning
channel
inversion of roughnessparameter
