作 者: (汤梦成); (周长春); (潘金禾); (张宁宁); (刘铖); (曹闪闪);
机构地区: 中国矿业大学化工学院,江苏徐州221116
出 处: 《煤炭技术》 2017年第9期294-296,共3页
摘 要: 以Lab VIEW为平台,对山东某选煤厂的煤泥浮选泡沫图像进行处理,并对泡沫图像的特征参数进行采集,而后利用这些参数基于BP神经网络模型对浮选泡沫产品的灰分进行了预测和分析,取得了较好的预测效果。 Takes LabVIEW as the platform to process the coal flotation froth images in a coal preparation plant located in Shandong province in order to collect the characteristic parameters of the froth image and use these parameters to both predict and analysis the ash content of flotation froth products based on BP neural network model, which can achieve good results forecast.