首页|Data from Stellenbosch University Advance Knowledge in Machine Learning (Machine Learning Approach to Identify Important Parameters Influencing Pumping Load Shi ft in a Complex Dewatering System of a Deep-Level Mine)
Data from Stellenbosch University Advance Knowledge in Machine Learning (Machine Learning Approach to Identify Important Parameters Influencing Pumping Load Shi ft in a Complex Dewatering System of a Deep-Level Mine)
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 DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsreporting out of Stellenbosc h, South Africa, by NewsRx editors, research stated, “This study investigatedth e application of machine learning to optimise the pumping load shift of a comple x dewatering system ina deep-level mine, aiming to reduce energy costs associat ed with the dewatering process, which consumesan average of 14% o f the mine’s electricity.”
NETL
NSTL
