Abstract
We show that chaos and oscillations in a higher-order binary neural network can be tuned effectively using interactions between neural networks. Our results suggest that network interactions may be useful as a means of adjusting the level of dynamic activities in systems that employ chaos and oscillations for information processing, or as a means of suppressing oscillatory behaviors in systems that require stability.
Keywords: Chaos, Neural network, Bifurcation, Associate memory, Stability, Crisis
Acknowledgements
We are very grateful for the helpful review comments that have helped to improve the paper.
Footnotes
URL: http:// www.ntu.edu.sg/home/elpwang
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