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• W2058906428 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." @default.
• W2058906428 created "2016-06-24" @default.
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• W2058906428 date "2008-07-01" @default.
• W2058906428 modified "2023-09-26" @default.
• W2058906428 title "Identification of chaotic systems by neural network with hybrid learning algorithm" @default.
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• W2058906428 doi "https://doi.org/10.1016/j.chaos.2006.08.037" @default.
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