标题
Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model
作者
关键词
-
出版物
Computational Intelligence and Neuroscience
Volume 2022, Issue -, Pages 1-9
出版商
Hindawi Limited
发表日期
2022-03-15
DOI
10.1155/2022/5233845
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A spatial evaluation of multifunctional Ecosystem Service networks using Principal Component Analysis: A case of study in Turin, Italy
- (2021) Stefano Salata et al. ECOLOGICAL INDICATORS
- Coal Mining Sustainable Development: Economics and Technological Outlook
- (2021) Sergey Zhironkin et al. Energies
- Biochar‐assisted eco‐restoration of coal mine degraded land to meet United Nation Sustainable Development Goals
- (2021) Dipita Ghosh et al. LAND DEGRADATION & DEVELOPMENT
- Design and Research of Intelligent Safety Monitoring Robot for Coal Mine Shaft Construction
- (2021) Wenjun Fu et al. Advances in Civil Engineering
- Integrated decision-making model for groundwater potential evaluation in mining areas using the cusp catastrophe model and principal component analysis
- (2021) Xiaofei Sun et al. Journal of Hydrology-Regional Studies
- Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II
- (2020) Lianhui Li et al. COMPLEXITY
- The Sustainable Development of Aged Coal Mine Achieved by Recovering Pillar-Blocked Coal Resources
- (2020) Huadong Gao et al. Energies
- Estimating Physical Composition of Municipal Solid Waste in China by Applying Artificial Neural Network Method
- (2020) Shijun Ma et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- The sustainable development of coal mines by new cutting roof technology
- (2020) Bin Yu et al. Royal Society Open Science
- Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework
- (2020) Yan Li et al. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING
- Development of a framework for sustainable improvement in performance of coal mining operations
- (2019) Hasanuzzaman et al. Clean Technologies and Environmental Policy
- The Enhancement of Lump Coal Percentage by High-Pressure Pulsed Hydraulic Fracturing for Sustainable Development of Coal Mines
- (2019) Hao Yan et al. Sustainability
- Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics
- (2019) Sanqiang Yang et al. Advances in Materials Science and Engineering
- An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic
- (2017) Jinjun Tang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Assessment of sustainable development of hard coal mining industry in Poland with use of bootstrap sampling and copula-based Monte Carlo simulation
- (2017) Michał Kopacz et al. JOURNAL OF CLEANER PRODUCTION
- Using an Integrated Group Decision Method Based on SVM, TFN-RS-AHP, and TOPSIS-CD for Cloud Service Supplier Selection
- (2017) Lian-hui Li et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Median-Pi artificial neural network for forecasting
- (2017) Erol Egrioglu et al. NEURAL COMPUTING & APPLICATIONS
- A conjunctive multiple-criteria decision-making approach for cloud service supplier selection of manufacturing enterprise
- (2017) Lianhui Li et al. Advances in Mechanical Engineering
- Sustainable development outcomes of coal mine methane clean development mechanism Projects in China
- (2015) Noim Uddin et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
- (2013) Chao Ren et al. KNOWLEDGE-BASED SYSTEMS
- Environmental evaluation for sustainable development of coal mining in Qijiang, Western China
- (2009) Hu Si et al. INTERNATIONAL JOURNAL OF COAL GEOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started