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.
|Number of pages||5|
|State||Published - 1 Jan 2019|
|Event||88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States|
Duration: 14 Oct 2018 → 19 Oct 2018
|Conference||88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018|
|Period||14/10/18 → 19/10/18|