Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation and b...

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Detalles Bibliográficos
Autores principales: Wang, Jie-sheng, Han, Shuang, Shen, Na-na
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/PMC4005072/
https://www.ncbi.nlm.nih.gov/pubmed/24982935
http://dx.doi.org/10.1155/2014/262368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005072/
https://www.ncbi.nlm.nih.gov/pubmed/24982935
http://dx.doi.org/10.1155/2014/262368

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