Estimating hysteretic energy demand in steel moment resisting frames using Multivariate Adaptive Regression Spline and Least Square Support Vector Machine

This paper uses Multivariate Adaptive Regression Spline (MARS) and Least Squares Support Vector Machines (LSSVMs) to predict hysteretic energy demand in steel moment resisting frames. These models are used to establish a relation between the hysteretic energy demand and several effective parameters...

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Auteurs principaux:	Jatin Alreja, Shantaram Parab, Shivam Mathur, Pijush Samui
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2015-06-01
Collection:	Ain Shams Engineering Journal
Sujets:	Multivariate Adaptive Regression Spline Least Squares Support Vector Machines Hysteretic energy Mathematical Modeling
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2090447914001804
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