首页|Reports on Support Vector Machines from University of Shanghai for Science and T echnology Provide New Insights (Pm2.5 Collection Efficiency of Wire-plate Electr ostatic Precipitator: Prediction of Temperature Effects Using Support …)
Reports on Support Vector Machines from University of Shanghai for Science and T echnology Provide New Insights (Pm2.5 Collection Efficiency of Wire-plate Electr ostatic Precipitator: Prediction of Temperature Effects Using Support …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Support Vec tor Machines. According to news reportingoriginating in Shanghai, People’s Repu blic of China, by NewsRx journalists, research stated, “With therapid developme nt of industry, coal-fired power generation accounts for a large proportion of t he totalpower generation, emitting a large amount of harmful substances, such a s PM2.5, seriously affectinghuman health. To investigate the PM2.5 collection e fficiency of wire-plate electrostatic precipitator (ESP)at different temperatur es, numerical simulations based on the multi-field coupling model of ESP were conducted.”
ShanghaiPeople’s Republic of ChinaAs iaAlgorithmsEmerging TechnologiesMachine LearningParticle Swarm Optimiza tionSupport Vector MachinesVector MachinesUniversity of Shanghai for Scien ce and Technology
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