Controlling the chaotic discrete-Hénon system using a feedforward neural network with an adaptive learning rate

Authors : Kürşad GÖKCE, Yılmaz UYAROĞLU

Pages : 793-803

Doi:10.3906/elk-1109-58

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This paper proposes a feedforward neural network-based control scheme to control the chaotic trajectories of a discrete-Hénon map in order to stay within an acceptable distance from the stable fixed point. An adaptive learning back propagation algorithm with online training is employed to improve the effectiveness of the proposed method. The simulation study carried in the discrete-Hénon system verifies the validity of the proposed control system.
Keywords : Neural network, backpropagation, online training, chaotic systems, adaptive learning, Hénon map