A neural network prediction analysis of breakout continuous casting based on differential evolution (DE)
In order to predict the breakout of continuous casting accurately and timely, a breakout prediction neural network (BPNN) model based on differential evolution algorithm was proposed. Differential evolutionary algorithm is introduced to solve the problem of fast optimization. The pretreatment of wei...
Main Authors: | Y. R. Li, C. N. Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Croatian Metallurgical Society
2020-01-01
|
Series: | Metalurgija |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/344119 |
Similar Items
-
An Intelligent Logic-Based Mold Breakout Prediction System Algorithm for the Continuous Casting Process of Steel: A Novel Study
by: Md Obaidullah Ansari, et al.
Published: (2022-12-01) -
Experiment of Pullout Expansion Anchor in Installation Cast in Place and Post Installed with Concrete Breakout Failure
by: Amirul Huda, et al.
Published: (2021-04-01) -
Horizontal casting cooling beyond the crystallizer
by: E. B. Demchenko, et al.
Published: (2024-04-01) -
Development of prediction method for mold sticking breakout based on density-based spatial clustering of applications with noise and dynamic time warping
by: Hai-yang DUAN, et al.
Published: (2020-03-01) -
El impacto de un doble breakout digital en un proyecto de gamificación (Impact of a double digital breakout in the context of a gamification project)
by: Isaac José Pérez López, et al.
Published: (2023-09-01)