A FRAMEWORK FOR REASONING ABOUT RAM-BASED NEURAL NETWORKS FOR IMAGE ANALYSIS APPLICATIONS

A Framework is introduced for reasoning about RAM-based weightless neural networks using networks created using the Goal-Seeking Neuron (GSN) as an example. The framework is then generalised to allow it to encompass all architectures within the RAM-based neural network paradigm. The framework may form the basis of a simple logic for RAM-based networks allowing formal comparison of the performance of various architectures and the development of provably optimal solutions within given constraints.