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 …
Application of artificial neural network (ANN) for prediction and optimization of blast-induced impacts
Drilling and blasting remain the preferred technique used for rock mass breaking in mining
and construction projects compared to other methods from an economic and productivity …
and construction projects compared to other methods from an economic and productivity …
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
This research focuses on presenting new models based on classifiers that can be applied to
various problems. Adaboost is a type of ensemble learning machine that uses classifiers that …
various problems. Adaboost is a type of ensemble learning machine that uses classifiers that …
Develo** a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
To test the impact of different mixture ratios on backfilling strength in Fankou lead–zinc mine,
various mixture ratio designs have been conducted. Meanwhile, to improve the strength of …
various mixture ratio designs have been conducted. Meanwhile, to improve the strength of …
[HTML][HTML] Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network
In mining or construction projects, for exploitation of hard rock with high strength properties,
blasting is frequently applied to breaking or moving them using high explosive energy …
blasting is frequently applied to breaking or moving them using high explosive energy …
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
W Zhu, HN Rad, M Hasanipanah - Applied Soft Computing, 2021 - Elsevier
The use of explosives is a common and economical method to fragment and/or displace
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …
A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets
Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA
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 …
Invasive weed optimization technique-based ANN to the prediction of rock tensile strength
In many site investigation phases of civil and mining engineering projects, the tensile
strength of the rocks is one of the most significant parameters that must be identified. This …
strength of the rocks is one of the most significant parameters that must be identified. This …
Optimization of SVR functions for flyrock evaluation in mine blasting operations
J Huang, J Xue - Environmental Earth Sciences, 2022 - Springer
This study introduces a new model to determine the critical flyrock event in mines. The
flyrock was predicted and optimized using a field database including six parameters and …
flyrock was predicted and optimized using a field database including six parameters and …