Invariant Measure and Memory Capacity of Periodic Chaos Neurons

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概要

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• In this paper, the Frobenius-Perron equations for a few chaps neurons are solved by means of the Fourier expansion scheme in order to derive the invariant measure. To explore the importance of the symmetry of the invariant measure, i.e. chaos neuron dynamics previously proposed, the simultaneous linear characteristic equation for the expansion coefficients will be numerically evaluated. It is also concluded that the symmetry of the invariant measure, which is found to be different for each chaos neurons, may be closely related to the ability of the chaos neurons applied to the practical applications with the neural networks, e.g. associative memory and learning model etc.

• 2003-06-17

著者

• NAKAGAWA Masahiro

  Nagoya University of Technology

関連論文

• Invariant Measure and Memory Capacity of Periodic Chaos Neurons

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