PUBLICATIONS

PAPER

HOME > Publications > Paper
Shallow Fully Connected Neural Network Training by Forcing Linearization into Valid Region and Balancing Training Rates
  • 관리자
  • |
  • 119
  • |
  • 2023-02-02

Jea Pil Heo, Chang Gyu Im, Kyung Hwan Ryu*, Su Whan Sung*, Changkyoo Yoo and Dae Ryook Yang, Shallow Fully Connected Neural Network Training by Forcing Linearization into Valid Region and Balancing Training Rates, Processes (ISSN: 2227-9717, SCI, MDTI, pp.1157(1-12) (2022.6) (공동연구) 

이전글 Predictive maintenance system for membrane replacement time detection: Application to a full-scale MBR plant
다음글 Exergy-based weighted optimization and smart decision-making for renewable energy systems considering economics, reliability, risk, and environmental assessments