资料下载
×
时延神经网络用于桥梁结构损伤识别
消耗积分:5 |
格式:rar |
大小:194 |
2009-06-29
马占云
分享资料个
使用振动信号输入的时延神经网络对桥梁进行结构损伤辨识，并用不完全的测量数据行
仿真。结果表明，时延神经网络的辨识算法简单，性能优于传统的神经网络。
关键词 时延神经网络 损伤识别 桁架桥
Abstract 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.
Key words ANN； Time-delay Neural networks；, Damage recognition
仿真。结果表明，时延神经网络的辨识算法简单，性能优于传统的神经网络。
关键词 时延神经网络 损伤识别 桁架桥
Abstract 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.
Key words ANN； Time-delay Neural networks；, Damage recognition
声明：本文内容及配图由入驻作者撰写或者入驻合作网站授权转载。文章观点仅代表作者本人，不代表电子发烧友网立场。文章及其配图仅供工程师学习之用，如有内容侵权或者其他违规问题，请联系本站处理。 举报投诉
评论(0)
发评论
- 相关下载
- 相关文章
