Abstract
Over the last few years, use of artificial intelligence (AI) has increased in many areas of mining and allied branches of engineering. The technique has been successfully applied to solve many engineering problems and has demonstrated reasonable feasibility therein. A review of the literature reveals that geotechnical studies, mineral processing, reserve estimation, rock fragmentation etc. are some of the areas of mining engineering where AI based approach has been successfully implemented.
This paper aims to briefly provide a general view of some of the existing AI based models for prediction of rock fragmentation. Empirical studies for estimation and assessment of fragmentation are also reviewed. The reach and flexibility of basic AI techniques have been elucidated.
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Dhekne, P.Y., Pradhan, M., Jade, R.K. (2014). Artificial Intelligence and Prediction of Rock Fragmentation. In: Drebenstedt, C., Singhal, R. (eds) Mine Planning and Equipment Selection. Springer, Cham. https://doi.org/10.1007/978-3-319-02678-7_86
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DOI: https://doi.org/10.1007/978-3-319-02678-7_86
Publisher Name: Springer, Cham
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