Developing deep learning surrogate models for digital twins in mineral processing – A case study on data-driven multivariate multistep forecasting

Author:

Zeb Akhtar,Linnosmaa Joonas,Seppi Mikko,Saarela Olli

Funder

Business Finland

Publisher

Elsevier BV

Reference51 articles.

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3. Modelling for Digital Twins—Potential Role of Surrogate Models;Bárkányi;Processes,2021

4. Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach;Bendaouia;Comput. Chem. Eng.,2024

5. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures;Bergstra;International Conference on Machine Learning,2013

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