IDEAS The Modelling Technique Based on Neuro-Fuzzy Structure for Chaotic Rossler System-Reference-Cited by-同舟云学术

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IDEAS The Modelling Technique Based on Neuro-Fuzzy Structure for Chaotic Rossler System

Published:2013-09-17 Issue: Volume: Page:177-181
ISSN:2213-8684
Container-title:Chaos, Complexity and Leadership 2012
language:
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Author:

Tuntaş Remzi

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-007-7362-2_22

Reference20 articles.

1. Andrejevic M, Litovski V (2003) Electronic circuit modeling using artificial neural network. J Autom Control 13:31–37

2. Chen G, Ueta T (1999) Yet another chaotic attractor. Int J Bifurc Chaos 9:1465–1466

3. Culliere T, Titli A, Corrieu JM (1995) Neuro-fuzzy modelling of nonlinear systems for control purposes. In: Proceedings of the IEEE international conference on fuzzy systems, vol 4, pp 2009–2016

4. Djeffal F, Chahdi M (2007) An approach based on neural computation to simulate the nanoscale CMOS circuits: application to the simulation of CMOS inverter. Elsevier Solid-State Electron 51:48–56

5. Fotsin HB, Woafo P (2005) Adaptive synchronization of a modified and uncertain chaotic Van der Pol–Duffing oscillator based on parameter identification. Chaos Solut Fract 24:1363–1371

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