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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ding, Xiaohua, Bahadori, Moein, Hasanipanah, Mahdi, Abdullah, Rini Asnida
Format: Article
Published: Techno-Press 2023
Subjects:
Online Access:http://eprints.utm.my/107516/
http://dx.doi.org/10.12989/gae.2023.33.6.567
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Be the first to leave a comment!
You must be logged in first