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.
Bibliographic Details
| Main Authors: |
Zhang, Hui,
Karim, Muhammad Faeyz,
Zheng, Shaonan,
Cai, Hong,
Gu, Yuandong,
Chen, Shoushun,
Yu, Hao,
Liu, Ai Qun |
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| Other Authors: |
School of Electrical and Electronic Engineering |
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| Format: | Conference Paper
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| Language: | English |
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| Published: |
2021
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| Subjects: | |
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| Online Access: | https://hdl.handle.net/10356/151454
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