A Parametric Model of the LARCODEMS Heavy Media Separator by Means of Multivariate Adaptive Regression Splines
Modeling of a cylindrical heavy media separator has been conducted in order to predict its optimum operating parameters. As far as it is known by the authors, this is the first application in the literature. The aim of the present research is to predict the separation efficiency based on the adjustm...
Main Authors: | Mario Menéndez Álvarez, Héctor Muñiz Sierra, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-06-01
|
Series: | Materials |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1944/10/7/729 |
Similar Items
-
Financial Forecasting With Multivariate Adaptive Regression Splines and Queen Genetic Algorithm-Support Vector Regression
by: Yuh-Jen Chen, et al.
Published: (2019-01-01) -
Multivariate Adaptive Regression Splines (MARS) for Modeling Student Status at Universitas Terbuka
by: Siti Hadijah Hasanah
Published: (2021-05-01) -
A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft Engines
by: Paulino José García Nieto, et al.
Published: (2016-05-01) -
Prediction of Sewage Treatment Cost in Rural Regions with Multivariate Adaptive Regression Splines
by: Yumin Wang, et al.
Published: (2019-01-01) -
Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images
by: Elia Quirós, et al.
Published: (2009-11-01)