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Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model
As the core of artificial intelligence, machine learning has strong application advantages in multi-criteria intelligent evaluation and decision-making. The level of sustainable development is of great significance to the safety evaluation of coal mining enterprises. BP neural network is a classical...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938146/ https://www.ncbi.nlm.nih.gov/pubmed/35321451 http://dx.doi.org/10.1155/2022/5233845 |
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author | Bai, Guangxing Xu, Tianlong |
author_facet | Bai, Guangxing Xu, Tianlong |
author_sort | Bai, Guangxing |
collection | PubMed |
description | As the core of artificial intelligence, machine learning has strong application advantages in multi-criteria intelligent evaluation and decision-making. The level of sustainable development is of great significance to the safety evaluation of coal mining enterprises. BP neural network is a classical algorithm model in machine learning. In this paper, the BP neural network is applied to the sustainable development level decision-making and safety evaluation of coal mining enterprises. Based on the analysis of the evaluation method for sustainable development of coal enterprises, the evaluation index system of sustainable development of coal enterprises is established, and a multi-layer forward neural network model based on error backpropagation algorithm is constructed. Based on the system theory of man, machine, environment, and management, and taking the four single elements and the whole system in a coal mine as the research object, this paper systematically analyzes and studies the evaluation and continuous improvement of coal mine intrinsic safety. The BP neural network evaluation model is used to analyze and study the intrinsic safety of coal mines, the shortcomings of the intrinsic safety construction of coal mines are found, and then improvement measures are put forward to effectively promote the safe production of coal mines and finally realize the intrinsic safety goal of the coal mine. |
format | Online Article Text |
id | pubmed-8938146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89381462022-03-22 Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model Bai, Guangxing Xu, Tianlong Comput Intell Neurosci Research Article As the core of artificial intelligence, machine learning has strong application advantages in multi-criteria intelligent evaluation and decision-making. The level of sustainable development is of great significance to the safety evaluation of coal mining enterprises. BP neural network is a classical algorithm model in machine learning. In this paper, the BP neural network is applied to the sustainable development level decision-making and safety evaluation of coal mining enterprises. Based on the analysis of the evaluation method for sustainable development of coal enterprises, the evaluation index system of sustainable development of coal enterprises is established, and a multi-layer forward neural network model based on error backpropagation algorithm is constructed. Based on the system theory of man, machine, environment, and management, and taking the four single elements and the whole system in a coal mine as the research object, this paper systematically analyzes and studies the evaluation and continuous improvement of coal mine intrinsic safety. The BP neural network evaluation model is used to analyze and study the intrinsic safety of coal mines, the shortcomings of the intrinsic safety construction of coal mines are found, and then improvement measures are put forward to effectively promote the safe production of coal mines and finally realize the intrinsic safety goal of the coal mine. Hindawi 2022-03-14 /pmc/articles/PMC8938146/ /pubmed/35321451 http://dx.doi.org/10.1155/2022/5233845 Text en Copyright © 2022 Guangxing Bai and Tianlong Xu. 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 Bai, Guangxing Xu, Tianlong Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model |
title | Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model |
title_full | Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model |
title_fullStr | Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model |
title_full_unstemmed | Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model |
title_short | Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model |
title_sort | coal mine safety evaluation based on machine learning: a bp neural network model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938146/ https://www.ncbi.nlm.nih.gov/pubmed/35321451 http://dx.doi.org/10.1155/2022/5233845 |
work_keys_str_mv | AT baiguangxing coalminesafetyevaluationbasedonmachinelearningabpneuralnetworkmodel AT xutianlong coalminesafetyevaluationbasedonmachinelearningabpneuralnetworkmodel |