Pages that link to "Item:Q879412"
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The following pages link to Creating a quality map of a slate deposit using support vector machines (Q879412):
Displaying 8 items.
- Support vector machines and neural networks used to evaluate paper manufactured using \textit{Eucalyptus globulus} (Q345505) (← links)
- Generalized linear spatial models to predict slate exploitability (Q364424) (← links)
- A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the \textit{Spirulina platensis} from raceway experiments data (Q491044) (← links)
- Comparison of kriging and neural networks with application to the exploitation of a slate mine (Q702522) (← links)
- Applicability of statistical learning algorithms for spatial variability of rock depth (Q972675) (← links)
- Partially linear support vector machines applied to the prediction of mine slope movements (Q984150) (← links)
- A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the trasona reservoir: a case study in northern Spain (Q1643054) (← links)
- Support vector machines and gradient boosting for graphical estimation of a slate deposit (Q2505847) (← links)
