OPTIMISATION OF RAM NETS USING INHIBITION BETWEEN CLASSES

A strategy for adding inhibitory weights to RAM based net has been developed. As a result a more robust net with lower error rates can be obtained. In the chapter we describe how the inhibition factors can be learned with a one shot learning scheme. The main strategy is to obtain inhibition values that minimise the error-rate obtained in a cross-validating test performed on the training set. The inhibition technique has been tested on the task of recognising handwritten digits. The results obtained matches the best error rates reported in the literature.