首页|Research from Razi University Provides New Study Findings on Machine Learning (P rediction of groundwater level fluctuation using methods based on machine learni ng and numerical model)
Research from Razi University Provides New Study Findings on Machine Learning (P rediction of groundwater level fluctuation using methods based on machine learni ng and numerical model)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting from Kermanshah, Iran, by New sRx journalists, research stated, “During the recent few decades, the use of var ious models has been regarded as a promising option to predict groundwater level (GWL) in any given region using a wide variety of data and relevant equations. The lack of trustworthy and comprehensive data is, nevertheless, one of the most significant obstacles that must be overcome in order to analyze and anticipate the depletion of groundwater in the context of water management.”
NETL
NSTL
