Cellular neural network for seismic pattern recognition

Kou-Yuan Huang*, Wen Hsuan Hsieh

*Corresponding author for this work

研究成果: Paper

1 引文 斯高帕斯(Scopus)

摘要

Cellular neural network is adopted for seismic pattern recognition. We design cellular neural network to behave as associative memory according to the stored patterns, and finish the training process of the network. Then we use this associative memory to recognize seismic testing patterns. In the experiment of seismic images, the bright spot pattern can be detected. The result of seismic pattern recognition can help the analysis and interpretation of seismic data.

原文English
頁面2221-2225
頁數5
DOIs
出版狀態Published - 1 一月 2019
事件88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States
持續時間: 14 十月 201819 十月 2018

Conference

Conference88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
國家United States
城市Anaheim
期間14/10/1819/10/18

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  • 引用此

    Huang, K-Y., & Hsieh, W. H. (2019). Cellular neural network for seismic pattern recognition. 2221-2225. 論文發表於 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States. https://doi.org/10.1190/segam2018-2997758.1