Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1893241 | Chaos, Solitons & Fractals | 2009 | 14 Pages |
Abstract
A discrete time bipolar neural network depending on two parameters is studied. It is observed that its dynamical behaviors can be classified into six cases. For each case, the long time behaviors can be summarized in terms of fixed points, periodic points, basin of attractions, and related initial distributions. Mathematical reasons are supplied for these observations and applications in cellular automata are illustrated.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Sui Sun Cheng, Jhien-Shien Chen, Wen-Chyuan Yueh,