发表论文40余篇，总引用近600次，部分代表作如下： 1.Shi M., Sun W., Song X.*, Zhang L. A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine. Knowledge-based Systems. 2019. 2.Shi, M., Zhang, T., Zhang, L., Sun, W., Song, X*. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine. Knowledge-Based Systems, 191(2020), 105229. 3.Shi, M., Lv, L., Song, X.*, & Sun, W. A support vector regression-based multi-fidelity surrogate model. Structural and Multidisciplinary Optimization, (2020). 4.Shi, M.*, Li, H., Liu, X. Multidisciplinary design optimization of dental implant based on finite element method and surrogate models. Journal of Mechanical Science & Technology, 31(2017), 5067-5073. 5.Sun, W.(导师), Shi, M., Zhang, C., Zhao, J., Song, X*. Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data. Automation in Construction. 92(2018), 23-34. 6.Sun, W.(导师), Shi, M., Li, J., Ding, X., Wang, L., Song, X*. Surrogate-Based Multisource Sensitivity Analysis of TBM Driving System. Shock and Vibration, 2018. 7.Song X.(导师), Shi M.*, Sun W. A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis. Mechanical Systems and Signal Processing. 133(2019):106279 8.Li, H.(导师), Shi M.*, Liu X., Shi Y. Uncertainty optimization of dental implant based on finite element method, global sensitivity analysis and support vector regression. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine (2018): 0954411918819116. 9.Shi M., Wang X., Sun W., Song X*. Optimization of Material and Structure Parameters in Dental Implant, QR2MSE2016& WCEAM. (2016) (Best paper reward). 10.Shi, M., Sun W., Zhang T., Liu Y., Wang S. & Song X*. Geology prediction based on operation data of TBM: comparison between deep neural network and soft computing methods. 2019 1st International Conference on Industrial Artificial Intelligence (2019). 11.Lv, L., Shi, M., Song, X.*, Sun, W., & Zhang, J. A Fast-Converging Ensemble Infilling Approach Balancing Global Exploration and Local Exploitation: The Go-Inspired Hybrid Infilling Strategy. Journal of Mechanical Design, (2019):1-27. 12.Gao X., Shi M., Song X., Zhang C.*, Zhang, H. Recurrent neural networks for real-time prediction of TBM operating parameters. Automation in Construction, 98(2019): 225-235. 13.Zhao, J., Shi, M., Hu, G., Song, X., Zhang, C.*, Tao, D., & Wu, W. A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access. (2019). (IF：4.098). 14.Sun, W., Wang, X., Shi, M.*, Wang, Z., Song, X. Multidisciplinary design optimization of hard rock tunnel boring machine using collaborative optimization. Advances in Mechanical Engineering, 10(2018), 1687814018754726. 15.Fang, J., Song, X., Yao, N., & Shi, M*. Application of FCM Algorithm Combined with Artificial Neural Network in TBM Operation Data. Computer Modeling in Engineering & Sciences, 126(2021), 397-417.
|
