no code implementations • 12 Apr 2021 • Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang
In this paper, based on in-situ TBM operational data, we use the machine-learning (ML) methods to build the real-time forecast models for TBM load parameters, which can instantaneously provide the future values of the TBM load parameters as long as the current data are collected.
no code implementations • 22 Jun 2019 • Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song
Computational simulations with different fidelity have been widely used in engineering design.
no code implementations • 31 May 2019 • Maolin Shi, Wei Sun, Xueguan Song, Hongyou Li
The proposed approach is consisted of low-level SVR models for the input parameters of larger sample sizes and high-level SVR model for the input parameters of smaller sample sizes.