Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, a feed-forward neural network (FNN) based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO) algorithm and gravitational search algorithm (GS...

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Detalles Bibliográficos
Autores principales: Wang, Jie-Sheng, Han, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4637155/
https://www.ncbi.nlm.nih.gov/pubmed/26583034
http://dx.doi.org/10.1155/2015/147843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4637155/
https://www.ncbi.nlm.nih.gov/pubmed/26583034
http://dx.doi.org/10.1155/2015/147843

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