Search Results for author: Maolin Shi

Found 3 papers, 0 papers with code

Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods

no code implementations12 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.

BIG-bench Machine Learning

A support vector regression-based multi-fidelity surrogate model

no code implementations22 Jun 2019 Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song

Computational simulations with different fidelity have been widely used in engineering design.

regression

High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes

no code implementations31 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.

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