Comparison Between Neural Networks and Multiple Regression Analysis to Predict Rock Fragmentation in Open-Pit Mines

A study compared artificial neural networks (ANNs) and multiple regression analysis in predicting rock fragmentation in open-pit mines. According to the results obtained from this research work, the ANN is known to be a useful tool to predict rock fragmentation, which is one of the most important processes in a mining operation. ANNs can learn new patterns which were not previously available in the training datasets, as the knowledge is updated when more training datasets are presented and processed. The ANN results possess a greater degree of accuracy, are robust, and more fault tolerant than any other analysis techniques.