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A hybrid prediction model with a selectively updating strategy for iron removal process in zinc hydrometallurgy

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61673399), Program of Natural Science Foundation of Hunan Province (Grant No. 2017JJ2329), and Fundamental Research Funds for Central Universities of Central South University (Grant No. 2018zzts550).

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Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, 410083, China

    Ning Chen, Jiayang Dai, Weihua Gui, Yuqian Guo & Jiaqi Zhou

Authors
  1. Ning Chen
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  2. Jiayang Dai
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  3. Weihua Gui
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  4. Yuqian Guo
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  5. Jiaqi Zhou
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Corresponding author

Correspondence to Jiayang Dai.

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Chen, N., Dai, J., Gui, W. et al. A hybrid prediction model with a selectively updating strategy for iron removal process in zinc hydrometallurgy. Sci. China Inf. Sci. 63, 119205 (2020). https://doi.org/10.1007/s11432-018-9711-2

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