A Study on Rock Mass Accurate Classification based on Multi-Algorithm Cross Multi-Feature Optimization Selection and TBM Parameter Efficient Prediction Using Low-Dimensional Inputs
This is an official code for the 2nd TBM machine learning competition. The authors include Xinyue Zhang*, Bowen Zhang* and Boxuan Zhang*.
It should be noted that this implementation is just focused on classification and parameter prediction tasks, with no mention of data cleaning and pre-processing.
Classification/
codes/
# codes for classification task(include 2-cls and 4-cls)
data/
# data for classification
save_models/
Regression/
codes/
GANDALF-regression.py
trainer_cfg.yml
data/
train/
F_train/
# data for thrust force prediction
T_train/
# data for cutterhead torque prediction
save_models/
results/
# classification and parameter prediction results
