Flotation Control System Based on Pattern Recognitio
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摘要: 研究了通过提取煤浮选泡沫层图象的特征量 ,建立数学模型预测精煤泡沫的灰份和浓度 ;将泡沫图象按结构进行分类 ,利用泡沫结构特征识别的LVQ神经网络模型建立浮选控制系统。Abstract: Through distilling the characteristics of foam image, this paper studied the mathematical model of the ash and density of foam of flotation coal, classified foam image by their structure, established a flotation control system on LVQ nerve network model of recognition of foam framework.
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Key words:
- coal preparation /
- froth flotation /
- image /
- testing /
- control system
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