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Proceedings Paper

Neural network system identification of chaotic optical systems with the chaos speedup BP algorithm
Author(s): Zhao-Heng Weng; Huaijiang Yang; Ke Shen; LiWei Zhou
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Paper Abstract

An algorithm for quickly training the BP neural network system identifier (BPNNSI) of the chaotic optical systems is presented in this paper. The ability of this algorithm, termed as the chaos speedup BP algorithm (CSBPA), has been demonstrated with the computer simulation of identifying the Bragg diffraction acousto-optic system (BDAOS) in which a 1:4:1 BP network was employed in identification. Taking the normalized output time series of the BDAOS as the training series, the BPNNSI was trained with the CSBPA as follows: (1) trained the BPNNSI to learn a chaotic state of the BDAOS with the BP algorithm where the initial weight distribution was set randomly; (2) took the final weight distribution obtained in (1) as the initial weight distribution for the other states of the BDAOS to be identified; (3) trained the BPNNSI to learn the other states still with the BP algorithm but with the initial weight distribution obtained in (2).

Paper Details

Date Published: 10 January 1996
PDF: 10 pages
Proc. SPIE 2695, Functional Photonic and Fiber Devices, (10 January 1996); doi: 10.1117/12.229953
Show Author Affiliations
Zhao-Heng Weng, Changchun Institute of Optics and Fine Mechanics (China)
Huaijiang Yang, Beijing Institute of Technology (China)
Ke Shen, Changchun Institute of Optics and Fine Mechanics (China)
LiWei Zhou, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 2695:
Functional Photonic and Fiber Devices
S. Iraj Najafi; Mario Nicola Armenise, Editor(s)

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