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Conferences > CLEO_AT > 2018 > JW2A > JW2A.54

Machine learning and Silicon Photonic Sensor for Complex Chemical Components Determination

H. Zhang, M. F. Karim, S. N. Zheng, H. Cai, Y. D. Gu, S. S. Chen, H. Yu, and A. Q. Liu

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Abstract

We propose an integrated microring resonator sensing system based on Backward-Propagation Neural Networks (BPNN)-Adaboost algorithm to predict component fraction in binary liquid mixtures. A minimum absolute error of 0.0023 and mean squared error of 0.000345 is achieved by this training model.

© 2018 The Author(s)

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