Information:
Source code of the paper "RAGAN: Regression Attention Generative Adversarial Networks", which is published in IEEE Transactions on Artificial Intelligence. DOI: 10.1109/TAI.2022.3209956
First author: Xiaoyu Jiang; Corresponding author: Zhiqiang Ge.
Procedure：
Step 1: Run RAGAN_main.py (Select hyperparameters >>> Import data >>> Define model structure >>> Pre-train DNN >>> Train RA-GAN and generate data).
Step 2: Run Test.py (Select hyperparameters >>> Import data >>> Data augmentation regression modeling >>> Output prediction results).
Contacts: