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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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Principais autores: Jatin Alreja, Shantaram Parab, Shivam Mathur, Pijush Samui
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2015-06-01
Serier:Ain Shams Engineering Journal
Fag:
Multivariate Adaptive Regression Spline
Least Squares Support Vector Machines
Hysteretic energy
Mathematical Modeling
Online adgang:http://www.sciencedirect.com/science/article/pii/S2090447914001804
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