首页|Studies from China University of Mining and Technology Beijing Describe New Find ings in Artificial Intelligence (Prediction of Blasthole Utilization Rate Using Structured Nonlinear Support Vector Machine Combined With Optimization Algorith ms)
Studies from China University of Mining and Technology Beijing Describe New Find ings in Artificial Intelligence (Prediction of Blasthole Utilization Rate Using Structured Nonlinear Support Vector Machine Combined With Optimization Algorith ms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Artificial Intelligence have been published. According to news reporting outof Beijing, People’s Republ ic of China, by NewsRx editors, research stated, “Blasting is the primary methodfor ultra-deep roadway engineering, which is facing the challenge of low footag e caused by unsatisfactoryblasting effects. Among all the evaluation indicators , the blast-hole utilization rate is the most importantindex for measuring blas ting effect.”
BeijingPeople’s Republic of ChinaAsi aAlgorithmsArtificial IntelligenceEmerging TechnologiesEngineeringMach ine LearningOptimization AlgorithmsSupport Vector MachinesVector MachinesChina University of Mining and Technology Beijing
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