A Time-delay Neural Networks Architecture for Structural Damage Detection

被引：1

作者：

Niu, Lin ^{[1
]}

机构：

[1] Chengdu Univ, Coll Elect & Informat Engn, Chengdu 610106, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL : ICACC 2009 - PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/ICACC.2009.75

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper the time-delay neural networks (TDNNs) have been implemented in detecting the damage in bridge structure using vibration signature analysis. A simulation study has been carried out for the incomplete measurement data. It has been observed that TDNNs have performed better than traditional neural networks in this application and the arithmetic of the TDNNs is simple.

引用

页码：571 / 575

页数：5