Cargando…
Alumina Concentration Detection Based on the Kernel Extreme Learning Machine
The concentration of alumina in the electrolyte is of great significance during the production of aluminum. The amount of the alumina concentration may lead to unbalanced material distribution and low production efficiency and affect the stability of the aluminum reduction cell and current efficienc...
Autores principales: | Zhang, Sen, Zhang, Tao, Yin, Yixin, Xiao, Wendong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620724/ https://www.ncbi.nlm.nih.gov/pubmed/28862685 http://dx.doi.org/10.3390/s17092002 |
Ejemplares similares
-
A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces
por: Li, Yanjiao, et al.
Publicado: (2017) -
An Improved Kernel Based Extreme Learning Machine for Robot Execution Failures
por: Li, Bin, et al.
Publicado: (2014) -
Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction
por: Zhang, Jie, et al.
Publicado: (2017) -
Extreme Learning Machine for Heartbeat Classification with Hybrid Time-Domain and Wavelet Time-Frequency Features
por: Xu, Yuefan, et al.
Publicado: (2021) -
A runoff prediction method based on hyperparameter optimisation of a kernel extreme learning machine with multi-step decomposition
por: Zhang, Xianqi, et al.
Publicado: (2023)