COMBINING TWO BOOLEAN NEURAL NETWORKS FOR IMAGE CLASSIFICATION

This chapter describes and evaluates a completely integrated Boolean neural network architecture, where a self-organising Boolean neural network (SOFT) is used as a front-end processor to a feedforward Boolean neural network based on goal-seeking principles (GSN^f). For such, it will discuss the advantages of the integrated SOFT-GSN^f over GSN^f by showing its increased effectiveness in the classification of postcode numerals extracted from mail envelopes.