Research on prediction of coalbed methane production based on Radial Basis Function Network

Hongxing Huang; Ming Huang; Dong Cheng; Bing Sun; Yi Zhang

doi:10.1051/e3sconf/202021801043

All issues

Volume 218 (2020)

E3S Web Conf., 218 (2020) 01043

References

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

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[1] Guoxin Chen. (1995) Coal mine gas drainage technology and analysis[J]. Safety in Coal Mines (05):2-6 (in Chinese). [Google Scholar]

[2] 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]

[3] 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]

[4] Fangfang Wang. (2014) Using Radial Basis Function Neural Network to Predict Fluid Accumulation in Gas Well[D]. Southwest Petroleum University (in Chinese). [Google Scholar]

[5] 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]

[6] 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]

[7] Yongming Han, Chenyu Fan, Zhiqiang Geng, et al. (2020) Energy efficient building envelope using novel RBF neural network integrated affinity propagation. 209 [Google Scholar]

[8] 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]