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A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter
In order to study a BP neural network algorithm for air particulate matter data monitoring, firstly, the monitoring data collected by particle sensor using the light scattering method are proposed. Then, based on the improved BP neural network method, the mapping relationship between the actual meas...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173920/ https://www.ncbi.nlm.nih.gov/pubmed/35685170 http://dx.doi.org/10.1155/2022/6393877 |
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author | Zhang, Chunyi |
author_facet | Zhang, Chunyi |
author_sort | Zhang, Chunyi |
collection | PubMed |
description | In order to study a BP neural network algorithm for air particulate matter data monitoring, firstly, the monitoring data collected by particle sensor using the light scattering method are proposed. Then, based on the improved BP neural network method, the mapping relationship between the actual measured value of the sensor, weather and other influencing factors, and the standard value of the monitoring station is established, and the calibration model of air particulate matter is realized. Finally, through theoretical analysis and experimental comparison, the results show that the model based on BP neural network algorithm has good accuracy and generalization ability in the evaluation of air particulate index, which makes it possible to scientifically and accurately refine the evaluation and management of urban air particulate index. The experimental results show that the air particle calibration model based on the light scattering method and improved BP neural network algorithm is practical and effective. |
format | Online Article Text |
id | pubmed-9173920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91739202022-06-08 A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter Zhang, Chunyi Comput Intell Neurosci Research Article In order to study a BP neural network algorithm for air particulate matter data monitoring, firstly, the monitoring data collected by particle sensor using the light scattering method are proposed. Then, based on the improved BP neural network method, the mapping relationship between the actual measured value of the sensor, weather and other influencing factors, and the standard value of the monitoring station is established, and the calibration model of air particulate matter is realized. Finally, through theoretical analysis and experimental comparison, the results show that the model based on BP neural network algorithm has good accuracy and generalization ability in the evaluation of air particulate index, which makes it possible to scientifically and accurately refine the evaluation and management of urban air particulate index. The experimental results show that the air particle calibration model based on the light scattering method and improved BP neural network algorithm is practical and effective. Hindawi 2022-05-31 /pmc/articles/PMC9173920/ /pubmed/35685170 http://dx.doi.org/10.1155/2022/6393877 Text en Copyright © 2022 Chunyi Zhang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Chunyi A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter |
title | A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter |
title_full | A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter |
title_fullStr | A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter |
title_full_unstemmed | A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter |
title_short | A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter |
title_sort | bp neural network algorithm for multimedia data monitoring of air particulate matter |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173920/ https://www.ncbi.nlm.nih.gov/pubmed/35685170 http://dx.doi.org/10.1155/2022/6393877 |
work_keys_str_mv | AT zhangchunyi abpneuralnetworkalgorithmformultimediadatamonitoringofairparticulatematter AT zhangchunyi bpneuralnetworkalgorithmformultimediadatamonitoringofairparticulatematter |