A Parametric Model of the LARCODEMS Heavy Media Separator by Means of Multivariate Adaptive Regression Splines

Álvarez, Mario Menéndez; Sierra, Héctor Muñiz; Lasheras, Fernando Sánchez; Juez, Francisco Javier de Cos

doi:10.3390/ma10070729

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…In any case, the complexity level of the model will not depend specifically on the number of BFs but also on the number of given knots [ 109 ]. Alternatively, the GCV estimator can be derived from the following equivalence relationship [ 123 ]:

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Section: Methodsmentioning

confidence: 99%

The Relative Importance of Globalization and Public Expenditure on Life Expectancy in Europe: An Approach Based on MARS Methodology

Cervantes

López

Rambaud

2020

IJERPH

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Background: There has been a widespread debate about the overall impact of globalization on population, not just economically, but also in terms of health status. Moreover, the current health crisis is going to force governments to review the structure of the public budget to most effectively alleviate the negative economic and health effects on the population. Objective: The aim of this paper is to analyze the relative importance of globalization and the public budget composition—specifically the participation of public expenditure on healthcare, social services and environment in gross domestic product (GDP)—on life expectancy at birth in European countries during the period 1995–2017. Methods: The Multivariate Adaptive Regression Splines (MARS) methodology was applied to analyze the socioeconomic determinants of life expectancy at birth. Results: Our findings show that globalization has no relative importance as an explanatory variable of life expectancy in European countries, while government expenditure on social protection is the most relevant followed by public expenditure on health, gross national income per capita, education level of the population and public expenditure on environmental protection. Conclusion: European strategies intended to impact on health outcome should spend more attention to the composition of public budget.

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…”

Section: Methodsmentioning

confidence: 99%

The Relative Importance of Globalization and Public Expenditure on Life Expectancy in Europe: An Approach Based on MARS Methodology

Cervantes

López

Rambaud

2020

IJERPH

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“…Moreover, in a cylindrical centrifugal force separator (hereinafter referred to as CFS) [2,7,9,10,29], the input material stream is directly fed into the vortex without passing the supplying pump, the measurement, and control equipment. This advantage helps prevent plugging and abrasion.…”

Section: Comparing the Benefits And Drawbacks Of Various Sink-float Smentioning

confidence: 99%

Sink–float density separation of post-consumer plastics for feedstock recycling

Bauer

Lehner

Schwabl

et al. 2018

J Mater Cycles Waste Manag

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The paper focuses on current mechanical waste processing technologies and out-of-the-box processes linked to the processing of coal and mineral resources, to ensure high-quality feedstock recycling of polyolefin-rich post-consumer plastic fractions. Moreover, the study aims to provide the basis for the technical and economic feasibility of the chemical recycling route of this plastic fraction. When evaluating common mechanical processes, either dry or wet ones, sink-float separation in a cylindrical centrifugal force separator achieves the best results. It combines the advantages of a simple, robust apparatus of low complexity and high capacity with selective separation through the accelerated settling of particles in the centrifugal field. Furthermore, the disconnection of the separation medium feed from the solid input increases residence times. Based on the above findings, a pilot-scale plant was constructed which consists of a centrifugal force separator and a hydro jig for the pre-separation of heavy waste components. Several test campaigns were conducted to separate polyolefins from various waste fractions. Two-stage processing in the centrifugal force separator rendered almost 90 wt% of polyolefin content in the produced lightweight fraction and of polyolefin recovery. One-stage processing, on the other hand, resulted in reduced polyolefin content in the lightweight fraction.

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“…Also, the importance of the variables that take part in both models will be analysed. In the case of the MARS models, the estimated importance of the basis functions is established by means of the generalized crossvalidation (GCV), that counting for each variable the number of subsets n or n subsets , calculates the residual sum of squares (RSS) divided by a smoothing parameter or a penalty depending on the model complexity (Sekulic & Kowalski, 1992;Álvarez Antón et al, 2013;Menéndez Álvarez et al, 2017):…”

Section: Methodsmentioning

confidence: 99%

Archives of Mining Sciences

Krzemień¹

2018

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Based on data collected during an UCG pilot-scale experiment that took place during 2014 at Wieczorek mine, an active mine located in Upper Silesia (Poland), this research focuses on developing a dynamic fire risk prevention strategy addressing underground coal gasification processes (UCG) within active mines, preventing economic and physical losses derived from fires.To achieve this goal, the forecasting performance of two different kinds of artificial neural network models (generalized regression and multi-layer feedforward) are studied, in order to forecast the syngas temperature at the georeactor outlet with one hour of anticipation, thus giving enough time to UCG operators to adjust the amount and characteristics of the gasifying agents if necessary.The same model could be used to avoid undesired drops in the syngas temperature, as low temperature increases precipitation of contaminants reducing the inner diameter of the return pipeline. As a consequence the whole process of UGC might be stopped. Moreover, it could allow maintaining a high temperature that will lead to an increased efficiency, as UCG is a very exothermic process.Results of this research were compared with the ones obtained by means of Multivariate Adaptative Regression Splines (MARS), a non-parametric regression technique able to model non-linearities that cannot be adequately modelled using other regression methods.Syngas temperature forecast with one hour of anticipation at the georeactor outlet was achieved successfully, and conclusions clearly state that generalized regression neural networks (GRNN) achieve better forecasts than multi-layer feedforward networks (MLFN) and MARS models.

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A Parametric Model of the LARCODEMS Heavy Media Separator by Means of Multivariate Adaptive Regression Splines

Cited by 8 publications

References 21 publications

The Relative Importance of Globalization and Public Expenditure on Life Expectancy in Europe: An Approach Based on MARS Methodology

The Relative Importance of Globalization and Public Expenditure on Life Expectancy in Europe: An Approach Based on MARS Methodology

Sink–float density separation of post-consumer plastics for feedstock recycling

Archives of Mining Sciences

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