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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Wang, Jie-sheng, Han, Shuang, Shen, Na-na, Li, Shu-xia
פורמט: Artigo
שפה:Inglês
יצא לאור: Hindawi Publishing Corporation 2014
נושאים:
גישה מקוונת: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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