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Predicting the ash content in coal flotation concentrate based on convolutional neural network
International Journal of Coal Preparation and Utilization ( IF 2.1 ) Pub Date : 2024-01-24 , DOI: 10.1080/19392699.2024.2308549 Zhicheng Liu 1, 2, 3 , Longjiang Li 1, 2, 3 , Jiang Zeng 4 , Yalan Wang 1, 2, 3 , Jian Yang 1, 2, 3 , Xiang Liu 4
International Journal of Coal Preparation and Utilization ( IF 2.1 ) Pub Date : 2024-01-24 , DOI: 10.1080/19392699.2024.2308549 Zhicheng Liu 1, 2, 3 , Longjiang Li 1, 2, 3 , Jiang Zeng 4 , Yalan Wang 1, 2, 3 , Jian Yang 1, 2, 3 , Xiang Liu 4
Affiliation
Convolutional neural networks (CNNs) are currently one of the most popular image classification technologies. Their excellent image classification ability enables the prediction of the ash content ...
中文翻译：
基于卷积神经网络的煤炭浮选精矿灰分含量预测
卷积神经网络（CNN）是目前最流行的图像分类技术之一。其出色的图像分类能力可以预测灰分含量......
更新日期：2024-01-27
中文翻译：
基于卷积神经网络的煤炭浮选精矿灰分含量预测
卷积神经网络（CNN）是目前最流行的图像分类技术之一。其出色的图像分类能力可以预测灰分含量......
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