Forecasting hysteresis behaviours of magnetorheological elastomer base isolator utilizing a hybrid model based on support vector regression and improved particle swarm optimization

Author： Yu Yang   Li Yancheng   Li Jianchun  

Publisher： IOP Publishing

E-ISSN： 1361-665X|24|3|35025-35038

ISSN： 0964-1726

Source： Smart Materials and Structures, Vol.24, Iss.3, 2015-03, pp. : 35025-35038

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Prediction of Precipitation Data Based on Support Vector Machine and Particle Swarm Optimization (PSO-SVM) Algorithms

By Du Jinglin   Liu Yayun   Yu Yanan   Yan Weilan  

Algorithms, Vol. 10, Iss. 2, 2017-05 ,pp. : 57-57

MDPI

Access to resources Recommend Favorite

An Improved Multiobjective Particle Swarm Optimization Based on Culture Algorithms

By Jia Chunhua   Zhu Hong  

Algorithms, Vol. 10, Iss. 2, 2017-04 ,pp. : 46-46

MDPI

Access to resources Recommend Favorite

Corrigendum: A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control (2013 Smart Mater. Struct. 22 095020)

By Li Yancheng   Li Jianchun   Tian Tongfei   Li Weihua  

Smart Materials and Structures, Vol. 23, Iss. 12, 2014-12 ,pp. : 129501-129501

IOP Publishing

Access to resources Recommend Favorite

Modeling of a new semi-active/passive magnetorheological elastomer isolator

By Behrooz Majid   Wang Xiaojie   Gordaninejad Faramarz  

Smart Materials and Structures, Vol. 23, Iss. 4, 2014-04 ,pp. : 45013-45019

IOP Publishing

Access to resources Recommend Favorite