.png){kind=icon}
返回
Phenomenological and global optimization inversion
.png){kind=icon}
PRE
AI
DOI：10.1109/JOE.2003.816681.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper discusses geoacoustic inversion results based on benchmark range-dependent data using SAGA, a global inversion package, and using phenomenological inversions. In phenomenological inversions, physical and signal-processing approaches are used to enhance the data to extract specific features. The global optimization approach is carried out on complex-valued vertical array data, transmission loss data, and reverberation data. The importance of checking the solution is emphasized by inspecting the match with the data and the error estimates and by checking the solution using data that has not been used in constructing the solution. The results show that we are able to estimate the geoacoustic parameters and that these parameters could be used to predict the field for different frequencies and/or source-receiver geometry than used in the inversion.
Keyword:
genetic algorithms (GAs)
geoacoustic inversion
SAGA
期刊
IF:
5.3
论文数:
2.6K
被引数:
7.4K
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏EFFICIENT DAMPER DESIGN METHOD FOR ELASTIC-PLASTIC MDOF STRUCTURES UNDER CONSECUTIVE-LEVEL EARTHQUAKES弹塑性多自由度结构在连续级地震作用下的高效阻尼器设计方法
OAAI
OAAI分享收藏
查看更多内容