Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1798-y
Abstract: This study aims to build an artificial intelligence (AI)-based inference model to predict the coefficient of performance (COP) for refrigeration equipment under various R404A refrigerant conditions. The proposed model, the evolutionary multivariate adaptive regression splines… read more here.
Keywords: regression splines; regression; adaptive regression; performance ... See more keywords
Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3630-y
Abstract: This paper investigates the application of three artificial intelligence methods, including multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) for the prediction of the mechanical behavior of… read more here.
Keywords: strength; regression splines; regression; adaptive regression ... See more keywords
Comprehensive modeling of monthly mean soil temperature using multivariate adaptive regression splines and support vector machine
Sign Up to like & getrecommendations! Published in 2017 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-017-2227-1
Abstract: Soil temperature (Ts) and its thermal regime are the most important factors in plant growth, biological activities, and water movement in soil. Due to scarcity of the Ts data, estimation of soil temperature is an… read more here.
Keywords: mean; soil temperature; adaptive regression; soil ... See more keywords
Revisiting Islamic banking efficiency using multivariate adaptive regression splines
Sign Up to like & getrecommendations! Published in 2022 at "Annals of Operations Research"
DOI: 10.1007/s10479-022-04545-2
Abstract: Islamic banking is among rapidly-growing components in the world's financial system. Within its institutions, continuous criteria of efficiency facilitate the evaluation of the impact of the reforms and policies on the banks' performance. In this… read more here.
Keywords: banking efficiency; adaptive regression; multivariate adaptive; efficiency ... See more keywords
Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-018-6507-8
Abstract: Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As known, groundwater resources are one of the main water resources especially in countries… read more here.
Keywords: water; adaptive regression; forest multivariate; groundwater potential ... See more keywords
Prediction of the tunnel displacement induced by laterally adjacent excavations using multivariate adaptive regression splines
Sign Up to like & getrecommendations! Published in 2020 at "Acta Geotechnica"
DOI: 10.1007/s11440-020-00916-w
Abstract: Excavations may cause excessive ground movements, resulting in potential damage to laterally adjacent tunnels. The aim of this investigation is to present a simple assessment technique using a multivariate adaptive regression splines (MARS) model, which… read more here.
Keywords: regression splines; adaptive regression; tunnel; laterally adjacent ... See more keywords
Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression
Sign Up to like & getrecommendations! Published in 2020 at "Journal of building engineering"
DOI: 10.1016/j.jobe.2020.101490
Abstract: Abstract This paper presents new models to predict chloride penetration into self-compacting concrete (SCC) using the rapid chloride penetration test (RCPT). The research mainly focuses on the effect of supplementary cementitious material (i.e., fly ash… read more here.
Keywords: regression; compacting concrete; rapid chloride; adaptive regression ... See more keywords
Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108066
Abstract: Abstract This study proposes an advanced data-driven method which relies on the Multivariate Adaptive Regression Splines (MARS) machine learning and Social Spider Algorithm (SSA) metaheuristic for predicting soil erosion susceptibility. The MARS is employed to… read more here.
Keywords: machine learning; adaptive regression; erosion; social spider ... See more keywords
Reliability estimation of public bus routes: Applicability of multivariate adaptive regression splines approach
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Civil Engineering"
DOI: 10.1139/cjce-2017-0518
Abstract: The performance of public bus lines is generally evaluated by comparing demand and ridership. However, reliability gain or loss by a proposed bus route should also be considered in the decision-making process to ensure a… read more here.
Keywords: regression splines; adaptive regression; public bus; reliability ... See more keywords
Evaluation of debris flow susceptibility in El Salvador (CA): a comparison between Multivariate Adaptive Regression Splines (MARS) and Binary Logistic Regression (BLR)
Sign Up to like & getrecommendations! Published in 2018 at "Hungarian Geographical Bulletin"
DOI: 10.15201/hungeobull.67.4.5
Abstract: In the studies of landslide susceptibility assessment, which have been developed in recent years, statistical methods have increasingly been applied. Among all, the BLR (Binary Logistic Regression) certainly finds a more extensive application while MARS… read more here.
Keywords: logistic regression; regression; adaptive regression; binary logistic ... See more keywords
Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Antitumor Activity of Anthrapyrazole Derivatives
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms23095132
Abstract: An approach using multivariate adaptive regression splines (MARSplines) was applied for quantitative structure–activity relationship studies of the antitumor activity of anthrapyrazoles. At the first stage, the structures of anthrapyrazole derivatives were subjected to geometrical optimization… read more here.
Keywords: multivariate adaptive; antitumor activity; regression splines; activity ... See more keywords