Optimization of the Process Parameters of Fully Mechanized Top-Coal Caving in Thick-Seam Coal Using BP Neural Networks
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- Bhattacharya, Mita & Rafiq, Shuddhasattwa & Bhattacharya, Sankar, 2015. "The role of technology on the dynamics of coal consumption–economic growth: New evidence from China," Applied Energy, Elsevier, vol. 154(C), pages 686-695.
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- Longjun Dong & Yanlin Zhao & Wenxue Chen, 2022. "Mining Safety and Sustainability—An Overview," Sustainability, MDPI, vol. 14(11), pages 1-6, May.
- Jiahang Lu & Xiaohua Wu, 2022. "Research on Urban Greenway Alignment Selection Based on Multisource Data," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
- Deqiu Wang & Yun Zheng & Fulian He & Jiayu Song & Jianlong Zhang & Yanhao Wu & Pengpeng Jia & Xiaohui Wang & Baoping Liu & Feifei Wang & Yajiang Zhang & Kai Tao, 2023. "Mechanism and Control of Asymmetric Floor Heave in the Gob-Side Coal Roadway under Mining Pressure in Extra-Thick Coal Seams," Energies, MDPI, vol. 16(13), pages 1-19, June.
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Keywords
top-coal caving mining; process parameters; decision model; BP neural network; similarity simulation test;All these keywords.
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