首页|Researchers from Shanghai University of Electric Power Report Details of New Studies and Findings in the Area of Machine Learning (Online Temperature Drift Compensation of Fabry-perot Filter Based On Machine Learning and Linear Fitting)
Researchers from Shanghai University of Electric Power Report Details of New Studies and Findings in the Area of Machine Learning (Online Temperature Drift Compensation of Fabry-perot Filter Based On Machine Learning and Linear Fitting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “The measurementaccuracy of fiber Bragg grating (FBG) sensors is significantly impacted by the temperature driftof Fabry-Perot (F-P) filters. The current hardware-based compensating techniques are complicated andexpensive.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai University of Electric Power