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

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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Bibliographic Details
Main Authors: Jatin Alreja, Shantaram Parab, Shivam Mathur, Pijush Samui
Format: Article
Language:English
Published: Elsevier 2015-06-01
Series:Ain Shams Engineering Journal
Subjects:
Multivariate Adaptive Regression Spline
Least Squares Support Vector Machines
Hysteretic energy
Mathematical Modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447914001804

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http://www.sciencedirect.com/science/article/pii/S2090447914001804

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