A Novel Adjustment Method for Shearer Traction Speed through Integration of T-S Cloud Inference Network and Improved PSO

In order to efficiently and accurately adjust the shearer traction speed, a novel approach based on Takagi-Sugeno (T-S) cloud inference network (CIN) and improved particle swarm optimization (IPSO) is proposed. The T-S CIN is built through the combination of cloud model and T-S fuzzy neural network....

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Detalles Bibliográficos
Autores principales: Si, Lei, Wang, Zhongbin, Liu, Xinhua, Yang, Yinwei, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259143/
https://www.ncbi.nlm.nih.gov/pubmed/25506358
http://dx.doi.org/10.1155/2014/865349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259143/
https://www.ncbi.nlm.nih.gov/pubmed/25506358
http://dx.doi.org/10.1155/2014/865349

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