Predicting the rock fragmentation in surface mines using optimized radial basis function and cascaded forward neural network models
The prediction and achievement of a proper rock fragmentation size is the main challenge of blasting operations in surface mines. This is because an optimum size distribution can optimize the overall mine/plant economics. To this end, this study attempts to develop fourimproved artificial intelligen...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Techno-Press
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107516/ http://dx.doi.org/10.12989/gae.2023.33.6.567 |
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| Institution: | Universiti Teknologi Malaysia |