Configuration selection for two-layer memory network pattern classifiers

Abstract
Appropriate allocation of decision-making tasks between processing levels in a hierarchical memory network pattern classifier can enhance efficient utilisation of resources and reduce implementation complexity. The letter describes and compares two strategies for such resource allocation, with specific reference to decision refinement between processing levels.

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