Study of BP Neural Networks Weights Based on Acoustic Resonance Spectroscopy

摘要：

This paper carries out a preliminary study of BP neural networks weights, and uses the weights to analyze the acoustic resonance spectroscopy (ARS) of the structures state. The results indicate that the weights show promise in telling the sensitive frequencies when the structures state changed.

关键词： BP neural network weight state identification acoustic resonance spectroscopy

作者: DU Huanchao FANG Jianqing LI hongjun MA chao CUI kaihua

作者单位: No,ll,P, O, Box 150 Baoji, Shaanxi Province

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 562-565

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）