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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2015-06-01
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Series: | Ain Shams Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447914001804 |