Open Access
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
Article Number 01040
Number of page(s) 7
Section Energy Development and Utilization and Energy-Saving Technology Application
Published online 24 March 2021
  1. Pan Y.Q., Yang Q.L. Qang Y.W. et al. (2010) Feature extraction and classification prediction of microarray data. Proceedings of 2010 First International Conference on Cellular, Molecular Biology, Biophysics and Bioengineering (Volume 6). [Google Scholar]
  2. .Qian H., Chai T.T., Zhang C.F. (2020)NOx Emission Prediction Model of SCR Flue Gas Denitrification System based on Deep Recurrent Neural Network. J. Eng. Ther. Ener. Pow., 35(08):77–84. [Google Scholar]
  3. Liu J.C., Chen H., Pi Z.P., et al.(2017)Reaction kinetic model for catalytic cracking MIP technology using structure oriented lumping methodⅡ. Simulation of a commercial unit., Pet. Tec., 46(05):519–523. [Google Scholar]
  4. Huang W. C., Lee P. L., Liu Y. T., et al. (2020) Support vector machine prediction of obstructive sleep apnea in a large-scale Chinese clinical sample Sleep, 43(7):7 [Google Scholar]
  5. Wang W. (2017) Performance of feature selection in several decision tree ensemble methods. Doctoral dissertation, Anhui:Anhui Normal University. [Google Scholar]
  6. Zhou Z.H. Machine learning. (2016) Beijing: Tsinghua University Press, pp.121–139,298–300. [Google Scholar]
  7. Li Z.Q., Du J.Q., Nie B., et al. (2019) Comp. Eng. Appl., 55(24): 10–19. [Google Scholar]
  8. Shao F.B., Yang S., G., Sun B.C., et al. (2019) The Big Data Analysis of Rail Equipment Accidents Based on the Maximal Information Coefficien. J. Transp. Sa. Secur., 12(7):959–976. [Google Scholar]
  9. Chen Q., Meng Z, P., Su R. (2020) WERFE: A Gene Selection Algorithm Based on Recursive Feature Elimination and Ensemble Strategy. Front. Bioeng. Biotech., 8: 496. [Google Scholar]
  10. Hoffmeister D., Herbrecht M., Kramm T., et al. (2020) Evaluation Of Random Forest-Based Analysis For The Gypsum Distribution In The Atacama Desert. LAGIRS 2020: 2020 Latin American GRSS & ISPRS Remote Sensing Conference.. [Google Scholar]
  11. Gao X.Q., Wang Z.W., Lu C., et al. (2020) Distribution network fault prediction model based on least squares support vector machine. J. Wuhan Univ. Tech., 42(01): 23–29. [Google Scholar]
  12. Xu H.Y. (2020) Factors influencing octane number of gasoline. Brand. Stand., 05:49–50+52. [Google Scholar]
  13. Sun S.K., Wang Z.Y., Cui Z., et al. (2020) Effect of process conditions on catalytic diesel hydroconversion. Eng. Ther. Ener. Pow., 48(08): 806–810. [Google Scholar]

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