Overview

This project contains various scripts and models for training and testing on a specific dataset. Below is a brief description of the directory structure and the purpose of each script.

Directory Structure

• dataset/: The folder where the dataset is stored. To obtain the dataset, please contact the author via email at [email protected].
• main/: Contains the main training and testing scripts for different models and experiments.
• models/: Contains the model architectures used in the experiments.
• utils/: Contains utility scripts for data processing and other helper functions.

Scripts

Training Scripts

• run_predic.sh: Training script for GAN models.
• run_predic_nogan.sh: Training script for MODAL-DRN models.
• run_predic_nogan_bls.sh: Training script for MODAL-DRN-BL models.
• run_predic_stressnet.sh: Training script for StressNet, SCSNet, and Inbetween models.
• run_predic_nogan_resnet.sh: Training script for ablation experiments.

Testing Scripts

• test_predic.sh: Testing script for GAN models.
• test_predic_bls.sh: Testing script for MODAL-DRN-BL models.
• test_predic_nogan.sh: Testing script for MODAL-DRN models.
• test_predic_nogan_bls.sh: Testing script for MODAL-DRN-BL models.
• test_predic_nogan_resnet.sh: Testing script for ablation experiments.

Contact

If you have any questions about the code files, please contact the author at [email protected].

Citation

lf you find this repo helpful, please cite the following paper:

@inproceedings{zeng-etal-2024, 
title = "MODAL-DRN-BL: A framework for modal analysis based on dilated residual broad learning networks", 
author = "Zeng, Peijian and Lin Nankai and Shun Li and Lin Jianghao and Yang Aimin and Hou Liheng", 
booktitle = "Journal of Computing and Information Science in Engineering", 
year = "2024", 
publisher = "American Society of Mechanical Engineers" }