Multi-Parameter Air Quality Monitoring System Research Based on Back Propagation Neural Network Algorithm-Reference-Cited by-同舟云学术

Multi-Parameter Air Quality Monitoring System Research Based on Back Propagation Neural Network Algorithm

Published:2023-12-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Sensing and Industrial Automation
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Author:

Wang Gang¹^ORCID,Zhang Xiaoshui²^ORCID,Li Minghui²^ORCID,Wang Jinlong²^ORCID,Wang Yibo²^ORCID

Affiliation:

1. Hanwei Electronics Group Corporation, China and Huanghe Science and Technology College, China

2. Hanwei Electronics Group Corporation, China

Publisher

ACM

Reference16 articles.

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4. evaluation of low-cost sensor performance in a suburban environment in the southeastern United States[J];Wan Jiao Gayle Hagler;Atmos Meas Tech,2016

5. Brian I. Magi , Calvin Cupini , Jeff Francis , Evaluation of PM2.5 measured in an urban setting using a low-cost opticall particle counter and a Federal Equivalent Method Beta Attenuation Monitor[J]. Aero- sol Sci Technol , 2020 ,54(2): 147-159. Brian I. Magi, Calvin Cupini, Jeff Francis, Evaluation of PM2.5 measured in an urban setting using a low-cost opticall particle counter and a Federal Equivalent Method Beta Attenuation Monitor[J]. Aero- sol Sci Technol, 2020,54(2): 147-159.