Cargando…
A combination of fuzzy Delphi method and hybrid ANN-based systems to forecast ground vibration resulting from blasting
This study presents a new input parameter selection and modeling procedure in order to control and predict peak particle velocity (PPV) values induced by mine blasting. The first part of this study was performed through the use of fuzzy Delphi method (FDM) to identify the key input variables with th...
Autores principales: | Huang, Jiandong, Koopialipoor, Mohammadreza, Armaghani, Danial Jahed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656269/ https://www.ncbi.nlm.nih.gov/pubmed/33173048 http://dx.doi.org/10.1038/s41598-020-76569-2 |
Ejemplares similares
-
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
por: Hosseini, Shahab, et al.
Publicado: (2023) -
A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs
por: Lu, Shasha, et al.
Publicado: (2020) -
A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network
por: Marto, Aminaton, et al.
Publicado: (2014) -
Comparative study of ANN and fuzzy classifier for forecasting electrical activity of heart to diagnose Covid-19
por: Nivethitha, T., et al.
Publicado: (2021) -
Predictions of Experimentally Observed Stochastic Ground Vibrations Induced by Blasting
por: Kostić, Srđan, et al.
Publicado: (2013)