Estimation of seismic quality factor: Artificial neural networks and current approaches

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• 作者：Eray Yıldırım^a ; ^{eray.yildirim@btu.edu.tr} ; Ruhi Saatç ; ılar^b ; Semih Ergintav^c
• 关键词：Seismic quality factor ; Artificial neural network ; Wiener filter ; Spectral ratio ; Amplitude decay ; Q estimate
• 刊名：Journal of Applied Geophysics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：136
• 期：Complete
• 页码：269-278
• 全文大小：1853 K
• 卷排序：136

文摘

The performance of Q estimation methods examined on both synthetic and field data. Artificial neural networks can effectively estimate the Q value from waveforms. The amplitude decay method is more sensitive to noise and its Q estimates are lower.