[HTML][HTML] Application of artificial intelligence to rock mechanics: An overview
AI Lawal, S Kwon - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …
mechanics, but the fact that none of these methods have been used as a standard implies …
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 …
Predicting blast-induced air overpressure: a robust artificial intelligence system based on artificial neural networks and random forest
H Nguyen, XN Bui - Natural Resources Research, 2019 - Springer
Blasting is the most popular method for rock fragmentation in open-pit mines. However, the
side effects caused by blasting operations include ground vibration, air overpressure (AOp) …
side effects caused by blasting operations include ground vibration, air overpressure (AOp) …
Optimization of ANFIS with GA and PSO estimating α ratio in driven piles
This study aimed to optimize Adaptive Neuro-Fuzzy Inferences System (ANFIS) with two
optimization algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization …
optimization algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization …
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
The evaluation and precise prediction of safety factor (SF) of slopes can be useful in
designing/analyzing these important structures. In this study, an attempt has been made to …
designing/analyzing these important structures. In this study, an attempt has been made to …
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
M Hasanipanah, M Noorian-Bidgoli… - Engineering with …, 2016 - Springer
The potential surface settlement, especially in urban areas, is one of the most hazardous
factors in subway and other infrastructure tunnel excavations. Therefore, accurate prediction …
factors in subway and other infrastructure tunnel excavations. Therefore, accurate prediction …
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 …
A new soft computing model for estimating and controlling blast-produced ground vibration based on hierarchical K-means clustering and cubist algorithms
Blasting is an essential task in open-pit mines for rock fragmentation. However, its
dangerous side effects need to be accurately estimated and controlled, especially ground …
dangerous side effects need to be accurately estimated and controlled, especially ground …
A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
Air-blast overpressure (AOp) is one of the undesirable effects caused by blasting operations
in open-pit mines. This side effect of blasting can seriously undermine surrounding …
in open-pit mines. This side effect of blasting can seriously undermine surrounding …
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 …