Monitoring and control airblast overpressures in an open pit coal mine

Author:

P Jaroonpattanapong,Tachom K.

Funder

Chiang Mai University

EGAT

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geophysics

Reference38 articles.

1. The potential application of particle swarm optimization algorithm for forecasting the air-overpressure induced by mine blasting;AminShokravi;Eng. Comput.,2018

2. A new combination of artificial neural network and K-nearest neighbor models to predict blast-induced ground vibration and air-overpressure;Amiri;Eng. Comput.,2016

3. A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network;Amoako;Int Journal of Mining Science and Technology Elsevier,2020

4. Neuro-fuzzy technique to predict air-overpressure induced by blasting;Armaghani;Arabian Journal of Geosciences,2015

5. A combination of the ICA-ANN model to predict air-overpressure resulting from blasting;Armaghani;Eng. Comput.,2016

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