An Expensive Optimization based Computational Intelligence Method for Railway Track Parameter Identification

Proceedings of the Twelfth International Conference on Computational Structures Technology ◽

10.4203/ccp.106.173 ◽

2014 ◽

Author(s):

A. Núñez ◽

M. Oregui ◽

M. Molodova

Keyword(s):

Parameter Identification ◽

Computational Intelligence ◽

Railway Track ◽

Track Parameter ◽

Expensive Optimization

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Measurement of train-induced vibration for track parameter identification: Bayesian probabilistic approach

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/640/1/012110 ◽

2019 ◽

Vol 640 ◽

pp. 012110

Author(s):

S A Alabi ◽

T A Alabi

Keyword(s):

Parameter Identification ◽

Probabilistic Approach ◽

Track Parameter ◽

Train Induced Vibration

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A Computational Intelligence Approach to Railway Track Intervention Planning

Evolutionary Computation in Practice - Studies in Computational Intelligence ◽

10.1007/978-3-540-75771-9_8 ◽

2008 ◽

pp. 163-198 ◽

Cited By ~ 3

Author(s):

Derek Bartram ◽

Michael Burrow ◽

Xin Yao

Keyword(s):

Computational Intelligence ◽

Railway Track ◽

Intervention Planning ◽

Intelligence Approach

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A Cloud Model Based Computational Intelligence Algorithm for Parameter Identification of Chaotic Systems

2011 Seventh International Conference on Computational Intelligence and Security ◽

10.1109/cis.2011.9 ◽

2011 ◽

Cited By ~ 1

Author(s):

Junfeng Chen ◽

Tiejun Wu

Keyword(s):

Parameter Identification ◽

Computational Intelligence ◽

Chaotic Systems ◽

Cloud Model ◽

Model Based ◽

Intelligence Algorithm

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Model parameter identification for vehicle vibration control with magnetorheological dampers using computational intelligence methods

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/095965180421800705 ◽

2004 ◽

Vol 218 (7) ◽

pp. 569-581 ◽

Cited By ~ 15

Author(s):

M Giuclea ◽

T Sireteanu ◽

D Stancioiu ◽

C W Stammers

Keyword(s):

Parameter Identification ◽

Vibration Control ◽

Computational Intelligence ◽

Magnetorheological Dampers ◽

Model Parameter ◽

Model Parameter Identification ◽

Computational Intelligence Methods

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Computational Intelligence in Expensive Optimization Problems

10.1007/978-3-642-10701-6 ◽

2010 ◽

Cited By ~ 26

Keyword(s):

Computational Intelligence ◽

Optimization Problems ◽

Expensive Optimization Problems ◽

Expensive Optimization

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Computational Intelligence

10.1061/9780784407608 ◽

2004 ◽

Cited By ~ 1

Keyword(s):

Computational Intelligence

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Glycemia Prediction Accuracy of Simple Linear Models with Online Parameter Identification

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v9i5.10171 ◽

2016 ◽

Vol 9 (5) ◽

pp. 367 ◽

Cited By ~ 1

Author(s):

Matúš Rebro ◽

Marián Tárník ◽

Ján Murgaš

Keyword(s):

Parameter Identification ◽

Prediction Accuracy ◽

Linear Models

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An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020031869 ◽

2020 ◽

Author(s):

Truong Vinh Hoang ◽

Hermann G. Matthies

Keyword(s):

Parameter Identification ◽

Set Theory ◽

Computational Method ◽

Bayesian Inversion ◽

Random Set ◽

Random Set Theory

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A New Criterion for Optimal Parameter Identification

1991 American Control Conference ◽

10.23919/acc.1991.4791572 ◽

1991 ◽

Author(s):

Luis G. Herrera-Bendezut ◽

James T. Cain

Keyword(s):

Parameter Identification ◽

Optimal Parameter ◽

New Criterion

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Parameter Identification using Nonlinear Observer Theory

10.23919/acc.1990.4790934 ◽

1990 ◽

Author(s):

Scott A. Bortoff ◽

Mark W. Spong

Keyword(s):

Parameter Identification ◽

Nonlinear Observer

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