Using artificial neural networks to monitor the influence of initial conditions in stochastic chaotic systems

Sirlantzis, Konstantinos (1997) Using artificial neural networks to monitor the influence of initial conditions in stochastic chaotic systems. In: 5th Panhellenic Conference on Non-linear Dynamics and Complexity. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53320)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Item Type:	Conference or workshop item (Paper)
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Konstantinos Sirlantzis
Date Deposited:	14 Dec 2015 02:28 UTC
Last Modified:	20 May 2025 10:40 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/53320 (The current URI for this page, for reference purposes)

University of Kent Author Information

Sirlantzis, Konstantinos.

Creator's ORCID:	https://orcid.org/0000-0002-0847-8880
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