首页|Researchers from Shanghai University Report on Findings in Machine Learning (A R apid Demodulation Method for the Interference Spectrum of Optical Fiber Sensors Based On Machine Learning)
Researchers from Shanghai University Report on Findings in Machine Learning (A R apid Demodulation Method for the Interference Spectrum of Optical Fiber Sensors Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published.According to news originating from Shanghai, People’s R epublic of China, by NewsRx correspondents, research stated, “Interferometric op tical fiber sensors based on wavelength demodulation play an important role in t he field of high-precision measurements.Generally used wavelength tracking meth od is based on the locations of feature wavelengths (peaks or valleys), and a lo ng time of spectrum scanning and demodulation is required.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai University
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