Machine learning and silicon photonic sensor for complex chemical components determination
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.
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Main Authors: | Zhang, Haochi, Muhammad Faeyz Karim, Zheng, Shaonan, Cai, H., Gu, Y. D., Chen, Shou Shun, Yu, H., Liu, Ai Qun |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/138831 |
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Institution: | Nanyang Technological University |
Language: | English |
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