A novel hunger games search optimization-based artificial neural network for predicting ground vibration intensity induced by mine blasting
H Nguyen, XN Bui - Natural Resources Research, 2021 - Springer
Innovation efforts in developing soft computing models (SCMs) of researchers and scholars
are significant in recent years, especially for problems in the mining industry. So far, many …
are significant in recent years, especially for problems in the mining industry. So far, many …
Seismic response prediction of a train-bridge coupled system based on a LSTM neural network
High complexity and randomness in high-speed train-bridge interactive dynamic analysis
under earthquake lead to massive calculations in high-speed railway seismic design. To …
under earthquake lead to massive calculations in high-speed railway seismic design. To …
Predicting clay compressibility using a novel Manta ray foraging optimization-based extreme learning machine model
Designing infrastructure founded on very soft deposits requires soil improvement to reduce
the compressibility of clay so as to prevent the development of unacceptably high differential …
the compressibility of clay so as to prevent the development of unacceptably high differential …
Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms
The focus of this study aims at developing two novel hybrid intelligence models for
forecasting copper prices in the future with high accuracy based on the extreme learning …
forecasting copper prices in the future with high accuracy based on the extreme learning …
A new long-term photovoltaic power forecasting model based on stacking generalization methodology
E Ofori-Ntow Jnr, YY Ziggah, MJ Rodrigues… - Natural Resources …, 2022 - Springer
In recent times, solar energy has become a highly promising source of energy and one of
the most regular types of sustainable energy. Forecasting the availability of solar energy has …
the most regular types of sustainable energy. Forecasting the availability of solar energy has …
A mathematical-mechanical hybrid driven approach for determining the deformation monitoring indexes of concrete dam
K Zhang, C Gu, Y Zhu, Y Li, X Shu - Engineering Structures, 2023 - Elsevier
This paper aims at quantifying the uncertainty of mechanical parameters of the concrete dam
based on prototype measured data, and puts forward a novel method for determining …
based on prototype measured data, and puts forward a novel method for determining …
Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural …
The objective of this paper is to present a method for predicting blast-induced ground
vibration in open-pit mines that is based on the use of self-organizing neural networks …
vibration in open-pit mines that is based on the use of self-organizing neural networks …
Support vector regression optimized by black widow optimization algorithm combining with feature selection by MARS for mining blast vibration prediction
G Xu, X Wang - Measurement, 2023 - Elsevier
Ground vibration induced by mine blasting is the most significant adverse effect on nearby
residents and surroundings. Accurate prediction of blasting vibration using limited monitor …
residents and surroundings. Accurate prediction of blasting vibration using limited monitor …
Assessing ground vibration caused by rock blasting in surface mines using machine-learning approaches: A comparison of CART, SVR and MARS
Ground vibration induced by rock blasting is an unavoidable effect that may generate severe
damages to structures and living communities. Peak particle velocity (PPV) is the key …
damages to structures and living communities. Peak particle velocity (PPV) is the key …
[PDF][PDF] Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on the Bagging and Sibling of Extra Trees Models.
QH Tran, H Nguyen, XN Bui - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
This study considered and predicted blast-induced ground vibration (PPV) in open-pit mines
using bagging and sibling techniques under the rigorous combination of machine learning …
using bagging and sibling techniques under the rigorous combination of machine learning …