The Prediction of the Gas Utilization Ratio Based on TS Fuzzy Neural Network and Particle Swarm Optimization

Gas utilization ratio (GUR) is an important indicator that is used to evaluate the energy consumption of blast furnaces (BFs). Currently, the existing methods cannot predict the GUR accurately. In this paper, we present a novel data-driven model for predicting the GUR. The proposed approach utilized...

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Detalles Bibliográficos
Autores principales: Zhang, Sen, Jiang, Haihe, Yin, Yixin, Xiao, Wendong, Zhao, Baoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855514/
https://www.ncbi.nlm.nih.gov/pubmed/29461469
http://dx.doi.org/10.3390/s18020625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855514/
https://www.ncbi.nlm.nih.gov/pubmed/29461469
http://dx.doi.org/10.3390/s18020625

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