Cargando…
A Soft Sensor Approach Based on an Echo State Network Optimized by Improved Genetic Algorithm
In the process of fault diagnosis and the health and safety operation evaluation of modern industrial processes, it is crucial to measure important state variables, which cannot be directly detected due to limitations of economy, technology, environment and space. Therefore, this paper proposes a da...
Autores principales: | Huang, Ruoyu, Li, Zetao, Cao, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569782/ https://www.ncbi.nlm.nih.gov/pubmed/32899330 http://dx.doi.org/10.3390/s20175000 |
Ejemplares similares
-
Tailoring Echo State Networks for Optimal Learning
por: Aceituno, Pau Vilimelis, et al.
Publicado: (2020) -
Genetic Algorithm Application in Optimization of Wireless Sensor Networks
por: Norouzi, Ali, et al.
Publicado: (2014) -
Modelling and implementation of soft bio-mimetic turtle using echo state network and soft pneumatic actuators
por: Soliman, MennaAllah, et al.
Publicado: (2021) -
An internet traffic classification method based on echo state network and improved salp swarm algorithm
por: Zhang, Meijia, et al.
Publicado: (2022) -
Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks
por: Martin, Charles E., et al.
Publicado: (2015)