首页|New Machine Learning Study Findings Reported from Army Engineering University (M achine Learning-based Vhf Lightning Radiation Sources Identification)
New Machine Learning Study Findings Reported from Army Engineering University (M achine Learning-based Vhf Lightning Radiation Sources Identification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting out of Nanjing, People’s Re public of China, by NewsRx editors, research stated, “Identifyingthe validity o f the location result is an important step in lightning radiation source mapping , which caneliminate the interference of noise location results, retain the rea l radiation source, and obtain a clear andcontinuous lightning channel developm ent map. The localization methods, such as electromagnetic timereversal and mul tiple signal classification have high location accuracy, but the validity identi fication oftheir location result depends on the subjectively set threshold, whi ch makes it hard to accurately distinguishthe location results of weak radiatio n source and noise.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningArmy Engineering University
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