Open Access
| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 01043 | |
| Number of page(s) | 4 | |
| Section | Research on Energy Technology Application and Consumption Structure | |
| DOI | https://doi.org/10.1051/e3sconf/202021801043 | |
| Published online | 11 December 2020 | |
- Guoxin Chen. (1995) Coal mine gas drainage technology and analysis[J]. Safety in Coal Mines (05):2-6 (in Chinese). [Google Scholar]
- Lianjun Chen, Caiquan Su. (2009) Radial basis function network prediction model of mine gas emission[J]. Journal of Shandong University of Science and Technology(Natural Science), 28(04):93-96+101 (in Chinese). [Google Scholar]
- Xiaoou Liu, Shaoyun Ge. (2020) The definition of energy efficiency of regional integrated energy system and its correlation analysis[J]. Automation of Electric power Systems, 44(8): 8 (in Chinese). [Google Scholar]
- Fangfang Wang. (2014) Using Radial Basis Function Neural Network to Predict Fluid Accumulation in Gas Well[D]. Southwest Petroleum University (in Chinese). [Google Scholar]
- Guiren Liu, Baoming Ren. (2001) Rotating mining method for fully mechanized mining face in gently inclined coal seam[J]. Journal of Xi’an University of Science and Technology, 021(004):319-321 (in Chinese). [Google Scholar]
- Huaili Zhang, Pingchuan Wang. (2003) Rotary mining technology of 7715 fully mechanized caving face in Xingtai Mine[J]. Hebei Coal: 20-21 (in Chinese). [Google Scholar]
- Yongming Han, Chenyu Fan, Zhiqiang Geng, et al. (2020) Energy efficient building envelope using novel RBF neural network integrated affinity propagation. 209 [Google Scholar]
- Surabhi Chandra, Prerna Gaur, Diwaker Pathak. (2020) Radial basis function neural network Based Maximum power point tracking for photovoltaic brushless DC motor connected water pumping System. 86 [Google Scholar]
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