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Article overview
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Generation of unpredictable time series by a neural network | | R Metzler
; W Kinzel
; L Ein-Dor
; I Kanter
; | | Date: |
30 Apr 2001 | | Journal: | Phys Rev E, 63 (5 Pt 2), 056126 | | Abstract: | A perceptron that "learns" the opposite of its own output is used to generate a time series. We analyze properties of the weight vector and the generated sequence, such as the cycle length and the probability distribution of generated sequences. A remarkable suppression of the autocorrelation function is explained, and connections to the Bernasconi model are discussed. If a continuous transfer function is used, the system displays chaotic and intermittent behavior, with the product of the learning rate and amplification as a control parameter. | | Source: | PubMed, pmid11414980 | | Other source: | [GID 83519] cond-mat/0011302 | | Services: | Forum | Review | Favorites | |
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