Journal
NEURAL COMPUTATION
Volume 14, Issue 11, Pages 2561-2566Publisher
MIT PRESS
DOI: 10.1162/089976602760407964
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Recently, there has been interest in the observed capabilities of some classes of neural networks with fixed weights to model multiple nonlinear dynamical systems. While this property has been observed in simulations, open questions exist as to how this property can arise. In this article, we propose a theory that provides a possible mechanism by which this multiple modeling phenomenon can occur.
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