Visual prediction of gas diffusion concentration based on regression analysis and BP neural network-Reference-Cited by-同舟云学术

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Visual prediction of gas diffusion concentration based on regression analysis and BP neural network

Published:2018-11-09 Issue:13 Volume:2019 Page:19-23
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Wang Jing¹,Fang Jiandong¹,Zhao Yvdong²

Affiliation:

1. Inner Mongolia University of TechnologyHohhotPeople's Republic of China

2. Inner Mongolia Autonomous Region Agriculture and Animal Husbandry Information CenterHohhotPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8953

Reference9 articles.

1. Real‐time monitoring of road dangerous goods transportation and development of emergency rescue system;Cong B.;Sci. Technol. Eng.,2014

2. Study on evolution mechanism of dangerous chemical leakage accident;Xiongjun Y.;Ind. Saf. Environ. Prot.,2014

3. Analysis and comparison of research status of dangerous chemical leakage diffusion model;Li S.;Chin. J. Saf. Sci.,2011

4. Study on the diffusion range of toxic gas leakage under different atmospheric stability;Wei G.;Fire Prot. Technol. Prod. Inf.,2018

5. Sensitivity analysis of parameters for toxic gas leakage and diffusion;Jian Y.;Sci. Technol. Square,2017

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