南方科技大学知识苑(SUSTech KC): Machine learning and Silicon Photonic Sensor for Complex Chemical Components Determination

题名	Machine learning and Silicon Photonic Sensor for Complex Chemical Components Determination
作者	Zhang，H.1; Karim，M. F.1; Zheng，S. N.1,2; Cai，H.2; Gu，Y. D.2; Chen，S. S.1; Yu，H.3 ; Liu，A. Q.1
DOI	10.1364/CLEO_AT.2018.JW2A.54
发表日期	2018-08-06
ISSN	2160-9020
ISBN	978-1-5386-5733-1
会议录名称	2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings
卷号	Part F92-CLEO_AT 2018
页码	1-2
会议日期	13-18 May 2018
会议地点	San Jose, CA, United states
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	OSA - The Optical Society
摘要	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.
关键词	Sensors Optical resonators Prediction algorithms Refractive index Liquids Artificial neural networks
学校署名	其他
语种	英语
相关链接	[Scopus记录]
收录类别	EI ; CPCI-S
资助项目	Singapore National Research Foundation under the Competitive Research Program[NRF-CRP13-2014-01]
WOS研究方向	Engineering ; Optics ; Physics
WOS类目	Engineering, Electrical & Electronic ; Optics ; Physics, Applied
WOS记录号	WOS:000526031002116
EI入藏号	20182705388917
EI主题词	Adaptive boosting ; Binary mixtures ; Learning systems ; Liquids ; Machine components ; Mean square error ; Silicon compounds
EI分类号	Machine Components:601.2 ; Computer Software, Data Handling and Applications:723 ; Chemical Products Generally:804 ; Mathematical Statistics:922.2
Scopus记录号	2-s2.0-85052601725
来源库	Scopus
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8427311
引用统计	被引频次[WOS]：0
成果类型	会议论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/44221
专题	工学院_电子与电气工程系
作者单位	1.School of Electrical and Electronic Engineering, Nanyang Technological University, ,Singapore,639798,Singapore 2.Institute of Microelectronics, A STAR, ,Singapore,117685,Singapore 3.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, ,518055,China
推荐引用方式 GB/T 7714	Zhang，H.,Karim，M. F.,Zheng，S. N.,et al. Machine learning and Silicon Photonic Sensor for Complex Chemical Components Determination[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:OSA - The Optical Society,2018:1-2.