Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems

Abstract

The large computing power of the cellular neural networks (CNNs) is used here to compute the transient response of a mechanical vibrating system. A basic question is how a mechanical system can be decomposed into homogeneous parts, avoiding the rise of space variant templates which can not be implemented on current analog CNN universal machine (CNNUM) chips. A computational complexity to time transformation is proposed in this paper.