State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
Advances in blast-induced impact prediction—A review of machine learning applications
Rock fragmentation in mining and construction industries is widely achieved using drilling
and blasting technique. The technique remains the most effective and efficient means of …
and blasting technique. The technique remains the most effective and efficient means of …
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines,
because it frequently reduces economic benefits and seriously affects the safety of mines …
because it frequently reduces economic benefits and seriously affects the safety of mines …
Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA
H Harandizadeh, DJ Armaghani - Applied Soft Computing, 2021 - Elsevier
Blasting operations typically have several negative impacts upon human beings and
constructions in adjacent region. Among all, air-overpressure (AOp) has been persistently …
constructions in adjacent region. Among all, air-overpressure (AOp) has been persistently …
A novel combination of whale optimization algorithm and support vector machine with different kernel functions for prediction of blasting-induced fly-rock in quarry …
This study proposed a novel data-driven model for estimating distance of fly-rock in bench
blasting in open-pit mines using a robust combination of the whale optimization algorithm …
blasting in open-pit mines using a robust combination of the whale optimization algorithm …
Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting
In the present study, the air-overpressure (AOp) due to mine blasting is predicted using an
uncertainty intelligence method based on the Z-number reliability and fuzzy cognitive map …
uncertainty intelligence method based on the Z-number reliability and fuzzy cognitive map …
An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines
Blasting is widely employed as an accepted mechanism for rock breakage in mining and
civil activities. As an environmental side effect of blasting, flyrock should be investigated …
civil activities. As an environmental side effect of blasting, flyrock should be investigated …
A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks …
In landslide susceptibility mapping or evaluating slope stability, the shear strength
parameters of rocks and soils and their effectiveness are undeniable. However, they have …
parameters of rocks and soils and their effectiveness are undeniable. However, they have …
Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer
Blasting operations are the most conventional and frequently used rock breakage approach
in the field of Civil and Mining Engineering. However, the side effects induced by blasting …
in the field of Civil and Mining Engineering. However, the side effects induced by blasting …