In this novel GAN, a first-order ordinary differential equation (ODE) is constructed by training set probability density function, which is the same solution ...

In this novel GAN, a first-order ordinary differential equation (ODE) is constructed by training set probability density function, which is the same solution ...

To improve the adversarial learning stability and convergence accuracy, the same solution constraints GAN (SSC-GAN) is proposed. In this novel GAN, a first- ...

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Apr 25, 2024 · SSC-GAN: A Novel GAN Based on the Same Solution Constraints of First-Order ODEs. Int. J. Pattern Recognit. Artif. Intell. 35(11): 2152018:1 ...

SSC-GAN: A Novel GAN Based on the Same Solution Constraints of First-Order ODEs ... same solution constraints GAN (SSC-GAN) is proposed. In this novel GAN ...

Jul 13, 2020 · SSC-GAN: A Novel GAN Based on the Same Solution Constraints of First-Order ODEs. July 2021 · International Journal of Pattern Recognition and ...

Sep 22, 2022 · This paper introduces the framework, advantages, disadvantages, and improvement of classic GAN. Then, the application of GAN in the field of EI is reviewed.

Mar 10, 2023 · He, SSC-GAN: A novel GAN based on the same solution constraints of first-order ODEs, Int. J. Pattern Recognit. Artif. Intell., vol. 35, no ...

SSC-GAN: A Novel GAN Based on the Same Solution Constraints of First-Order ODEs. Int. J. Pattern Recognit. Artif. Intell. 35(11): 2152018:1-2152018:20 (2021).