Limit cycles of a perceptron
arXiv:cond-mat/9710010 · doi:10.1088/0305-4470/31/13/006
Abstract
An artificial neural network can be used to generate a series of numbers. A boolean perceptron generates bit sequences with a periodic structure. The corresponding spectrum of cycle lengths is investigated analytically and numerically; it has similarities with properties of rational numbers.
LaTeX and 4 postscript pages of figures
Cited by in corpus (6)
- Learning and predicting time series by neural networks
- Robust chaos generation by a perceptron
- Long-term properties of time series generated by a perceptron with various transfer functions
- Generation of unpredictable time series by a Neural Network
- Neural Networks, Game Theory and Time Series Generation
- Learning and generation of long-range correlated sequences