Oscillator neural network model with distributed native frequencies

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چکیده

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Oscillator neural network model with distributed native frequencies

We study associative memory of an oscillator neural network with distributed native frequencies. The model is based on the use of the Hebb learning rule with random patterns (ξ i = ±1), and the distribution function of native frequencies is assumed to be symmetric with respect to its average. Although the system with an extensive number of stored patterns is not allowed to get entirely synchron...

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1 College of Applied Science, Beijing University of Technology, Beijing 100124, China 2 Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China 3College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China {mengyong2007, fmfang}@emails.bjut.edu.cn, {qiaoyuanhua, ljduan}@bju...

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ژورنال

عنوان ژورنال: Journal of Physics A: Mathematical and General

سال: 1999

ISSN: 0305-4470,1361-6447

DOI: 10.1088/0305-4470/32/19/305