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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Autori principali: Wang, Jie-sheng, Han, Shuang, Shen, Na-na, Li, Shu-xia
Natura: Artigo
Lingua:Inglês
Pubblicazione: Hindawi Publishing Corporation 2014
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4124801/
https://ncbi.nlm.nih.gov/pubmed/25133210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/208094
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