Gold cyanide leaching recovery prediction model based on neighbourhood component analysis and artificial intelligence technique

Author:

Osei Pearl Asieduwaa,Brew Lewis,Amankwah Richard Kwasi,Ziggah Yao Yevenyo,Owusu Clement

Funder

Ghana Chamber of Mines-Tertiary Education Fund

Publisher

Springer Science and Business Media LLC

Reference53 articles.

1. Ali MZ, Awad HN (2014) A novel class of niche hybrid cultural algorithms for continuous. Inf Sci 267:158–190

2. Altinkaya P, Wang Z, Korolev I, Hamuyuni J, Haapalainen M, Kolehmainen E, Yliniemi K, Lundstrom M (2020) Leaching and recovery of gold from ore in cyanide free glycine media. Miner Eng 158:106610. https://doi.org/10.1016/j.mineng.2020.106610

3. Amankwaa-Kyeremeh B, Greet C, Zanin M, Skinner W, Asamoah RK (2020) Selecting key predictor parameters for regression analysis using modified neighbourhood component analysis (NCA) algorithm. In: Proceedings of 6th UMaT biennial international mining and mineral conference, University of Mines and Technology, Ghana, pp 320–325

4. Amin S (2020) Backpropagation-artificial neural network (BP-ANN): understanding gender characteristics of older driver accidents in west Midlands of United Kingdom. Saf Sci 122:104539

5. Amy MV, Hemond FH (2013) Extended artificial neural networks: incorporation of a priori chemical knowledge enables use of ion selective electrodes for in-situ measurement of ions at environmentally relevant levels. Talanta 117C:112–118

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