Combining Boolean Neural Architectures for Image Recognition

Abstract

This paper presents a completely integrated Boolean neural architecture, where a selforganizing Boolean neural network (SOFT) is used as a front-end processor to a feedforward Boolean network based on goal-seeking principles (GSN f). This paper will evaluate the advantages of the integrated SOFT-GSN f over GSN f by showing its increased effectiveness in an optical character recognition task.

Keywords:

• Weightless Neural Networks
• Character Recognition
• Modular Architectures