Data Classification with an Improved Weightless Neural Network

Abstract

This paper examines the performance of an enhanced weightless neural network as a classifier. Like all earlier weightless neural network models, this network learns in one pass through the data This new weightless neural network has shown significant gains in the classifiction accuracy over the earlier Deterministic RAN Network (DARN), on a variety of problems. In addition, some comparisons between the DARN and the proposed network are presented. This will also include some evidence on how a standard Multilayer Perceptron network would behave on the same data sets. Finally, hardware implementation issues are discussed.