The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine

This paper creates a bi-directional prediction model to predict the performance of carbon fiber and the productive parameters based on a support vector machine (SVM) and improved particle swarm optimization (IPSO) algorithm (SVM-IPSO). In the SVM, it is crucial to select the parameters that have an...

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Detalles Bibliográficos
Autores principales: Xiao, Chuncai, Hao, Kuangrong, Ding, Yongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455220/
https://www.ncbi.nlm.nih.gov/pubmed/28787927
http://dx.doi.org/10.3390/ma8010117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455220/
https://www.ncbi.nlm.nih.gov/pubmed/28787927
http://dx.doi.org/10.3390/ma8010117

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