Features Extraction of Flotation Froth Images and BP Neural Network Soft-Sensor Model of Concentrate Grade Optimized by Shuffled Cuckoo Searching Algorithm

For meeting the forecasting target of key technology indicators in the flotation process, a BP neural network soft-sensor model based on features extraction of flotation froth images and optimized by shuffled cuckoo search algorithm is proposed. Based on the digital image processing technique, the c...

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Detalles Bibliográficos
Autores principales: Wang, Jie-sheng, Han, Shuang, Shen, Na-na, Li, Shu-xia
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/PMC4124801/
https://www.ncbi.nlm.nih.gov/pubmed/25133210
http://dx.doi.org/10.1155/2014/208094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124801/
https://www.ncbi.nlm.nih.gov/pubmed/25133210
http://dx.doi.org/10.1155/2014/208094

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