首页|Recent Research from School of Resources & Safety Engineering High light Findings in Machine Learning (Research On Height Prediction of Water-condu cting Fracture Zone In Coal Mining Based On Intelligent Algorithm Combined With Extreme Boosting …)

Recent Research from School of Resources & Safety Engineering High light Findings in Machine Learning (Research On Height Prediction of Water-condu cting Fracture Zone In Coal Mining Based On Intelligent Algorithm Combined With Extreme Boosting …)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting outof Hunan, People’s Republic of China , by NewsRx editors, research stated, “The development of waterconductingfract ure zones (WCFZ) caused by coal mining is a destructive phenomenon of mining damage. The development height of the WCFZ is an important reference index for the prevention and controlof safety hazards such as water infiltration or sand intr usion in mines and for program optimization.”

HunanPeople’s Republic of ChinaAsiaAlgorithmsCombinatorialCombinatoricCyborgsEmerging TechnologiesMachin e LearningSchool of Resources & Safety Engineering

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.30)
  • 1