Comment on 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization' [Int. J. Comput. Math. 86(12) (2009), pp. 2225-2235]

S. Jafari; S. M.R.H. Golpayegani; A. Daliri

doi:10.1080/00207160.2012.743651

Comment on 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization' [Int. J. Comput. Math. 86(12) (2009), pp. 2225-2235]

S. Jafari, S. M.R.H. Golpayegani, A. Daliri

Research output: Contribution to journal › Comment/debate › peer-review

13 Scopus citations

Abstract

This note comments on a published article 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization'. In this article, similarity between time series obtained from chaotic systems is considered as a measure of similarity between them; however, it is well known that this method is not suitable for chaotic systems.

Original language	English (US)
Pages (from-to)	903-905
Number of pages	3
Journal	International Journal of Computer Mathematics
Volume	90
Issue number	5
DOIs	https://doi.org/10.1080/00207160.2012.743651
State	Published - May 2013
Externally published	Yes

Keywords

Henon map
chaotic systems
chaotic time series
parameters identification
sensitivity to initial conditions

ASJC Scopus subject areas

Computer Science Applications
Computational Theory and Mathematics
Applied Mathematics

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10.1080/00207160.2012.743651

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Comment on 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization' [Int. J. Comput. Math. 86(12) (2009), pp. 2225-2235]. / Jafari, S.; Golpayegani, S. M.R.H.; Daliri, A.
In: International Journal of Computer Mathematics, Vol. 90, No. 5, 05.2013, p. 903-905.

Research output: Contribution to journal › Comment/debate › peer-review

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abstract = "This note comments on a published article 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization'. In this article, similarity between time series obtained from chaotic systems is considered as a measure of similarity between them; however, it is well known that this method is not suitable for chaotic systems.",

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AU - Daliri, A.

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N2 - This note comments on a published article 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization'. In this article, similarity between time series obtained from chaotic systems is considered as a measure of similarity between them; however, it is well known that this method is not suitable for chaotic systems.

AB - This note comments on a published article 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization'. In this article, similarity between time series obtained from chaotic systems is considered as a measure of similarity between them; however, it is well known that this method is not suitable for chaotic systems.

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KW - sensitivity to initial conditions

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Comment on 'Parameters identification of chaotic systems by quantum-behaved particle swarm optimization' [Int. J. Comput. Math. 86(12) (2009), pp. 2225-2235]

Abstract

Keywords

ASJC Scopus subject areas

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