Parallel layer perceptron

Abstract In this paper, both the architecture and learning procedure underlying the parallel layer perceptron is presented. This topology, different to the previous ones, uses parallel layers of perceptrons to map nonlinear input–output relationships. Comparisons between the parallel layer perceptron, multi-layer perceptron and ANFIS are included and show the effectiveness of the proposed topology.