Cellular neural network for seismic pattern recognition

Kou-Yuan Huang*, Wen Hsuan Hsieh

*Corresponding author for this work

    Research output: Contribution to conferencePaperpeer-review

    1 Scopus citations

    Abstract

    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.

    Original languageEnglish
    Pages2221-2225
    Number of pages5
    DOIs
    StatePublished - 1 Jan 2019
    Event88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States
    Duration: 14 Oct 201819 Oct 2018

    Conference

    Conference88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
    Country/TerritoryUnited States
    CityAnaheim
    Period14/10/1819/10/18

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