首页|New Machine Learning Study Results Reported from University of Technology (Multi peak Wavelength Detection of Spectrally Overlapped Fiber Bragg Grating Sensors T hrough a Cnn-based Autoencoder)
New Machine Learning Study Results Reported from University of Technology (Multi peak Wavelength Detection of Spectrally Overlapped Fiber Bragg Grating Sensors T hrough a Cnn-based Autoencoder)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 from Valparaiso, Chile, by NewsRx journalists, research stated, “This article presents a machinelearning s olution to identify the peak wavelengths of fiber Bragg grating (FBG) sensors mu ltiplexed in anetwork with high spectral overlapping. Machine learning solution s generally require high-quality, extensivedatasets, which can be difficult to obtain.”
ValparaisoChileSouth AmericaCyborg sEmerging TechnologiesMachine LearningUniversity of Technology
NETL
NSTL
