A multilayer neural network with pulse position modulation
Hiroomi Hikawa · Systems and Computers in Japan · 2003
Abstract 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. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(13): 36–46, 2003; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.10474