Feasibility Study of Parameter Identification Method Based on Symbolic Time Series Analysis and Adaptive Immune Clonal Selection Algorithm

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ISSN Print: 2164-3164
ISSN Online: 2164-3172
www.scirp.org/journal/ojce
E-mail: ojce@scirp.org

"Feasibility Study of Parameter Identification Method Based on Symbolic Time Series Analysis and Adaptive Immune Clonal Selection Algorithm"
written by Rongshuai Li, Akira Mita, Jin Zhou,
published by Open Journal of Civil Engineering, Vol.2 No.4, 2012

has been cited by the following article(s):

[1]	Robust Optimization Model and Algorithm for Railway Freight Center Location Problem in Uncertain Environment
	X LIUa, S HEa, R SONG, Y SUNb, H LIa - downloads.hindawi.com, 2014

[2]	Experimental Verification of Parameter Identification Method based on Symbolic Time Series Analysis and Adaptive Immune Clonal Selection Algorithm
	Transactions on Machine Learning and Artificial Intelligence, 2014

[3]	Hybrid Methodology for Structural Health Monitoring Based on Immune Algorithms and Symbolic Time Series Analysis
	Journal of Intelligent Learning Systems and Applications, 2013

[4]	Identification of structural parameters based on symbolic time series analysis and differential evolution strategy
	SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring. International Society for Optics and Photonics, 2013

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