Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling

Research article (International Journal of Coal Preparation and Utilization, 2018) · cited 26× · AI/ML
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Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling

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Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-the-ash-content-of-flotation-concentrate-based-on-froth-image-processing-and-bp-neural-network-modeling
MLA “Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-the-ash-content-of-flotation-concentrate-based-on-froth-image-processing-and-bp-neural-network-modeling.
BibTeX @misc{4ortxyz_prediction-of-the-ash-content-of-flotation-concentrate-based-on-froth-image-processing-and-bp-neural-network-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-the-ash-content-of-flotation-concentrate-based-on-froth-image-processing-and-bp-neural-network-modeling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of the Ash Content of Flotation Concentrate Based on Froth Image Processing and BP Neural Network Modeling — https://4ort.xyz/entity/prediction-of-the-ash-content-of-flotation-concentrate-based-on-froth-image-processing-and-bp-neural-network-modeling (retrieved 2026-05-24)

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