Perceptrons is a simple neural network that works as an alternative to the commonly used two-bit counters branch history table (BHT) branch predictor. Perceptrons achieves increased accuracy than traditional BHT branch predictors because they can make use of longer branch histories, given the same hardware budget. Although having very similar organization to BHT branch predictors, Perceptrons’ ...

Even though multilayer perceptrons and radial basis function networks belong to the class of artificial neural networks and they are used for similar tasks, they have very different structures and training mechanisms. So, some researchers showed better performance with radial basis function networks, while others showed some different results with multilayer perceptrons. This paper compares the...