References
- LI Hongbiao, Research on the Prediction of Gas Emission by Using Neural Network. Kunming: Kunming University of Science and Technology,2008.
- YE Zhen-ni, HOU En-ke, DUAN Zhong-hui, HE Dan, PAN Yi, “Prediction for gas emission quantity of the working face in Guojiahe coal mine,” Journal of Xi’an University of Science and Technology, vol. 37, Jan. 2017, pp. 57-62, doi:10.13800/ j.cnki.xakjdxxb. 2017.0110.
- Wang Jiangrong, “Gas Emission Prediction Model Based on Genetic Algorithm and Fuzzy Multivariate Linear Regression Analysis,” Industry and Mine Automation, vol. 39, Dec. 2013, pp. 34-38, doi:10.7526/j.issn.1671-251X.2013.12.009.
- WANG Sheng-quan, LIU Bo-gen,ZHANG Zhao-zhao, FAN Qi, FENG Hai, “Prediction of Gas Emission Quantity of Mining Faces Based on Genetic BP Neutral Network Optimal Model,” Journal of Xi’an University of Science and Technology, vol. 32, Jan. 2012, pp. 51-56, doi:10.13800/j.cnki.xakjdxxb.2012.01.022.
- Gao Baobin, Pan Jiayu, “Based on PLS associated with BP neural network for different-source gas emission prediction model of working face,” Journal of Hunan University of Science & Technology(Natural Science Edition) , vol. 30, Dec. 2015, pp. 14-20, doi: 10.13582 / j.cnki.1672-9102.2015.04.003.
- SONG Da-yong, SONG Guo-liang, CHENG Gao-fei, YANG Xiao- min, “Research on the prediction of gas emission from tunneling roadway by using neural network,” Shaanxi Coal, 2012(4), pp. 141-142,128.
- FU Hua, XIE Sen, XU Yao-song, CHEN Zi-chun, “Study on MPSO- WLS-SVM-based Mine Gas Emission Prediction Model,” China Safety Science Journal, vol. 23, May. 2013, pp. 56-57, dio: 10.16265/j.cnki.issn1003-3033.2013.05.020.
- FU Hua, YU Xiang, LU Wanjie, “Prediction of Gas Emission Based on Hybrid Algorithm of Ant Colony Particle Swarm Optimization and LS-SVM,” Chinese Journal of Sensors and Actuators, vol. 29, Mar. 2016, pp. 373-377, doi:10.3969/j.issn.1004-1699.2016.03.012.
- CaoHongmin, ZhangYulin, JiangYongpeng, DingChengwei. “Mine Gas Gushing Quantity for Ecasting Based on Wavelet Neural Network,” Computer Applications and Software, vol. 26, Jul. 2009, pp. 168-170.
- ZHANG Wensheng, “Research on Gas Emission Pattern Recognition at Coal Heading Face Based on Wavelet Analysis,” Beijing: China University of Mining & Technology,,2016.
- Masaharu MIZUMOTO, “Pictorial Representation of Fuzzy Connectives, Part 1: Cases of T-norms, T-conorms and Averaging Operators,” Fuzzy Sets and Systems, 1989,31:217-242.
- WeiYin-shang,LiuYun-fei, “To Study on Forecasting of Mine Gas Emission Based on The Monte Carlo method improved BP Neural Net,” Coal Engineering, vol. 46, No.12, 2014, pp. 84-86,89, doi:10. 11799/ce201412028.
- TIAN Shui-cheng, WANG Xi, WANG Li, CEN Xiao-qian, YUAN Xiao-fang, “Combination forecast method of gas emission amount based on improved AHP,” Journal of Xi’an University of Science and Technology, vol. 32, Jan. 2012, pp. 25-29, doi:10.13800/j.cnki.xakjdxxb.2012.01.018.
- AO Pei, MOU Long-hua, “Load combination forecasting based on power grid with environmental characteristics,” Journal of China Coal Society, vol. 36, Sep. 2011, pp. 1575-1580, doi:10.13225/j.cnki.jccs.2011.09.025.
- JIA Peng-tao, DENG Jun, “Coal Mine Gas Concentration Combination Prediction Model Based on Universal Average Operation,” China Safety Science Journal, vol. 22, Jun. 2012, pp. 41-46.