Identification of chaotic systems by neural network with hybrid learning algorithm

Shing-Tai Pan and Chih-Chin Lai

Chaos, Solitons & Fractals, 2008, vol. 37, issue 1, 233-244

Abstract: Based on the genetic algorithm (GA) and steepest descent method (SDM), this paper proposes a hybrid algorithm for the learning of neural networks to identify chaotic systems. The systems in question are the logistic map and the Duffing equation. Different identification schemes are used to identify both the logistic map and the Duffing equation, respectively. Simulation results show that our hybrid algorithm is more efficient than that of other methods.

Keywords: Genetic algorithm; Steepest descent method; Chaotic systems; Neural network (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:37:y:2008:i:1:p:233-244

DOI: 10.1016/j.chaos.2006.08.037

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