Machine parts classification based on a digital neural network

This paper describes the application of a digital neural network, based on the probabilistic version of the RAM neuron (pRAM), to image processing. The most important pRAM controlling parameters are discussed, along with the application of two types of learning algorithm, based on reinforcement learning and data analysis. The performance of the system is evaluated with respect to its classification of machine parts within a black and white image.