Deep correlation and precise prediction between static features of froth images and clean coal ash content in coal flotation: An investigation based on deep learning and maximum likelihood estimation-Reference-Cited by-同舟云学术

Deep correlation and precise prediction between static features of froth images and clean coal ash content in coal flotation: An investigation based on deep learning and maximum likelihood estimation

Published:2024-01 Issue: Volume:224 Page:113843
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Lu Fucheng,Liu Haizeng,Lv Wenbao

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference57 articles.

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4. Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network;Wen;Miner. Eng.,2021

5. Ash determination of coal flotation concentrate by analyzing froth image using a novel hybrid model based on deep learning algorithms and attention mechanism;Yang;Energy,2022

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