Coal mine safety production forewarning based on improved BP neural network
| العنوان: | Coal mine safety production forewarning based on improved BP neural network |
|---|---|
| المؤلفون: | Ying Wang, Cuiping Zuo, Cuijie Lu |
| المصدر: | International Journal of Mining Science and Technology, Vol 25, Iss 2, Pp 319-324 (2015) |
| بيانات النشر: | Elsevier BV, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | lcsh:TN1-997, Engineering, Artificial neural network, Warning system, business.industry, Coal mining, Energy Engineering and Power Technology, Particle swarm optimization, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Geotechnical Engineering and Engineering Geology, Reliability engineering, Asynchronous learning, Identification (information), Geochemistry and Petrology, Convergence (routing), Artificial intelligence, business, lcsh:Mining engineering. Metallurgy, Network model |
| الوصف: | Firstly, the early warning index system of coal mine safety production was given from four aspects as personnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO-BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarning management of coal mine safety production. Keywords: Improved PSO algorithm, BP neural network, Coal mine safety production, Early warning |
| تدمد: | 2095-2686 |
| DOI: | 10.1016/j.ijmst.2015.02.023 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09ed13f8d54af41e99a40bcba8c8c9e9 https://doi.org/10.1016/j.ijmst.2015.02.023 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....09ed13f8d54af41e99a40bcba8c8c9e9 |
| قاعدة البيانات: | OpenAIRE |
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