Intensity and Wavelength-Division Multiplexing Fiber Sensor Interrogation Using a Combination of Autoencoder Pre-Trained Convolution Neural Network and Differential Evolution Algorithm
This paper proposes a new fiber Bragg grating central wavelength interrogation system by combining evolutionary algorithm and machine learning techniques poise pads in bulk integrated with an unsupervised autoencoder (AE) pre-training strategy.The proposed unsupervised AE pre-training convolution neural network (CNN) allows training of the convolut