Classification and Concentration Prediction of VOCs With High Accuracy Based on an Electronic Nose Using an ELM-ELM Integrated Algorithm-Reference-Cited by-同舟云学术

Classification and Concentration Prediction of VOCs With High Accuracy Based on an Electronic Nose Using an ELM-ELM Integrated Algorithm

Published:2022-07-15 Issue:14 Volume:22 Page:14458-14469
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Tao¹^ORCID,Zhang Hexin¹,Wu Yu¹,Chen Xiyu¹,Chen Xinwei¹,Zeng Min¹^ORCID,Yang Jianhua¹^ORCID,Su Yanjie¹,Hu Nantao¹,Yang Zhi¹

Affiliation:

1. Department of Micro/Nano Electronics, Key Laboratory of Thin Film and Microfabrication, Ministry of Education, School of Electronic Information and Electrical Engineering, Institute of Marine Equipment, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Oceanic Interdisciplinary Program of Shanghai Jiao Tong University

Scientific Research Fund of Second Institute of Oceanography, Ministry of Natural Resources of China

Shanghai Sailing Program

Startup Fund for Youngman Research at Shanghai Jiao Tong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9829891/09787556.pdf?arnumber=9787556

Reference56 articles.

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5. Validation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines;gamboa;Sens Actuators B Chem,2021

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