Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm
Joint Authors
Li, Sheng
Fan, Chaojun
Zhang, Hongwei
Yang, Zhenhua
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In order to predict the residual gas content in coal seam in front of roadway advancing face accurately and rapidly, an improved prediction method based on both drilling cuttings indices and bat algorithm optimizing extreme learning machine (BA-ELM) was proposed.
The test indices of outburst prevention measures (drilling cuttings indices, residual gas content in coal seam) during roadway advancing in Yuecheng coal mine were first analyzed.
Then, the correlation between drilling cuttings indices and residual gas content was established, as well as the neural network prediction model based on BA-ELM.
Finally, the prediction result of the proposed method was compared with that of back-propagation (BP), support vector machine (SVM), and extreme learning machine (ELM) to verify the accuracy.
The results show that the average absolute error, the average absolute percentage error, and the determination coefficient of the proposed prediction method of residual gas content in coal seam are 0.069, 0.012, and 0.981, respectively.
This method has higher accuracy than other methods and can effectively reveal the nonlinear relationship between drilling cuttings indices and residual gas content.
It has prospective application in the prediction of residual gas content in coal seam.
American Psychological Association (APA)
Yang, Zhenhua& Zhang, Hongwei& Li, Sheng& Fan, Chaojun. 2020. Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1120791
Modern Language Association (MLA)
Yang, Zhenhua…[et al.]. Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm. Advances in Civil Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1120791
American Medical Association (AMA)
Yang, Zhenhua& Zhang, Hongwei& Li, Sheng& Fan, Chaojun. Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1120791
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120791