Dynamics of clustering multiple backpropagation networks

It is known that synergistic effects of clustering multiple backpropagation nets improves supervised learning, generalization, fault tolerance, and self-organization with respect to a comparably complex nonclustered system. A model that captures the underlying reasons for the synergy of clustering is outlined. The underlying ideas can apply to any net trained with a supervised learning rule.<>