首页|Findings on Support Vector Machines Detailed by Investigators at Sai Nath University (A Comprehensive Study On the Application of Soft Computing Methods In Pred icting and Evaluating Rock Fragmentation In an Opencast Mining)
Findings on Support Vector Machines Detailed by Investigators at Sai Nath University (A Comprehensive Study On the Application of Soft Computing Methods In Pred icting and Evaluating Rock Fragmentation In an Opencast Mining)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Support Vector Machines is now available. According to news reporting from Jharkhand, India, by NewsRx journalists, research stated, “The prediction of rock fragmentation (Fr) is high ly beneficial to the optimization of blasting operations in the mining industry. The characteristics of the rock mass, the blast geometry, and the explosive qua lities are the primary elements influencing Fr.”
JharkhandIndiaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesSai Nath University
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