模拟输入双输出CNNNUM芯片在机械振动系统瞬态分析中的应用

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI:10.1109/INES.1997.632426

P. Szolgay, I. Salvi, Z. Szolgay

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引用次数: 5

摘要

本文利用细胞神经网络(cnn)强大的计算能力来计算机械振动系统的瞬态响应。一个基本问题是如何将机械系统分解为同质部件，以避免在当前模拟CNN通用机(CNNUM)芯片上无法实现的空间变体模板的出现。本文提出了时间变换的计算复杂度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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Proceedings of IEEE International Conference on Intelligent Engineering Systems

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