A Multilayer Neural Network with Pulse Position Modulation

摘要

The problem of the pulse mode neural network is that the synapse weight is bounded between +1 and -1. In order to enhance the weight range, this paper proposes a new weighting method that is a combination of pulse density modulation and pulse position modulation (PPM). The feasibility of the proposed method is verified by experimental MNN with on-chip learning. A modified back-propagation algorithm is used for the on-chip learning. The experimental results show that the proposed MNN architecture has the ability to handle high-resolution classifying problems and good on-chip learning capability.