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 …
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 …
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting
Accurately predicting the particle size distribution of a muck-pile after blasting is always an
important subject for mining industry. Adaptive neuro-fuzzy inference system (ANFIS) has …
important subject for mining industry. Adaptive neuro-fuzzy inference system (ANFIS) has …
Intelligent prediction of blasting-induced ground vibration using ANFIS optimized by GA and PSO
Ground vibration induced by rock blasting is one of the most crucial problems in surface
mines and tunneling projects. Hence, accurate prediction of ground vibration is an important …
mines and tunneling projects. Hence, accurate prediction of ground vibration is an important …
A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration
W Chen, M Hasanipanah, H Nikafshan Rad… - Engineering with …, 2021 - Springer
This study aims to identify the suitability of hybridizing the firefly algorithm (FA), genetic
algorithm (GA), and particle swarm optimization (PSO) with two well-known data-driven …
algorithm (GA), and particle swarm optimization (PSO) with two well-known data-driven …
ORELM: a novel machine learning approach for prediction of flyrock in mine blasting
X Lu, M Hasanipanah, K Brindhadevi… - Natural Resources …, 2020 - Springer
Blast-induced flyrock is a hazardous and undesirable phenomenon that may occur in
surface mines, especially when blasting takes place near residential areas. Therefore …
surface mines, especially when blasting takes place near residential areas. Therefore …
Advanced analytics for rock blasting and explosives engineering in mining
JLV Mariz, A Soofastaei - … Leverage Advanced Analytics in Mining Industry …, 2022 - Springer
Blasting is a fundamental operation in the mining of metal and non-metal mine sites. There
is a historical story of using explosive material in both underground and surface mines sites …
is a historical story of using explosive material in both underground and surface mines sites …
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS
H Jing, H Nikafshan Rad, M Hasanipanah… - Engineering with …, 2021 - Springer
This study proposes a novel design to systematically optimize the parameters for the
adaptive neuro-fuzzy inference system (ANFIS) model using stochastic fractal search (SFS) …
adaptive neuro-fuzzy inference system (ANFIS) model using stochastic fractal search (SFS) …
[HTML][HTML] A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network
Blasting is the live wire of mining and its operations, with air overpressure (AOp) recognised
as an end product of blasting. AOp is known to be one of the most important environmental …
as an end product of blasting. AOp is known to be one of the most important environmental …
Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm
Air overpressure (AOp) produced by blasting is one of the environmental hazards of mining
operations. Accordingly, the accurate prediction of AOp is very important, and this issue …
operations. Accordingly, the accurate prediction of AOp is very important, and this issue …