Cargando…
A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization
In this scientific report, a new technique of artificial intelligence which is based on k-nearest neighbors (KNN) and particle swarm optimization (PSO), named as PSO-KNN, was developed and proposed for estimating blast-induced ground vibration (PPV). In the proposed PSO-KNN, the hyper-parameters of...
Autores principales: | Bui, Xuan-Nam, Jaroonpattanapong, Pirat, Nguyen, Hoang, Tran, Quang-Hieu, Long, Nguyen Quoc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765007/ https://www.ncbi.nlm.nih.gov/pubmed/31562369 http://dx.doi.org/10.1038/s41598-019-50262-5 |
Ejemplares similares
-
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms
por: Nguyen, Hoang, et al.
Publicado: (2019) -
Lectures on the nearest neighbor method
por: Biau, Gérard, et al.
Publicado: (2015) -
The effects of mismatches on hybridization in DNA microarrays: determination of nearest neighbor parameters
por: Hooyberghs, J., et al.
Publicado: (2009) -
Dimensionality reduction with unsupervised nearest neighbors
por: Kramer, Oliver
Publicado: (2013) -
Probing hybridization parameters from microarray experiments: nearest-neighbor model and beyond
por: Hadiwikarta, W. W., et al.
Publicado: (2012)