A generative adversarial network-based method for generating negative financial samples.
Zhaohui ZhangLijun YangLigong ChenQiuwen LiuYing MengPengwei WangMaozhen LiPublished in: Int. J. Distributed Sens. Networks (2020)
Keyphrases
- cost function
- optimization algorithm
- objective function
- clustering method
- experimental evaluation
- high accuracy
- synthetic data
- training samples
- computationally efficient
- detection method
- significant improvement
- preprocessing
- unsupervised learning
- segmentation method
- high precision
- detection algorithm
- generation method
- sample set
- theoretical analysis
- generative model
- input data
- computational cost
- dynamic programming
- evolutionary algorithm
- computational complexity
- multi agent