Test correct ave rho overlapping rectangular distributions ave num

B subnetworks. Notice that this requirement is more demanding than is required for the conclusion of the Two-pass Learning theorem.

Rho

(b) Overlapping Rectangular Distributions

Rho

subnetwork. The vigilance setting for the B subnetwork was fixed at 1.0. This is standard for classification problems, since binary coded class labels are used as inputs to the B subnetwork. Finally, a Bayesian classifier was applied to the testing data and performance was calculated, giving a basis for comparison.

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