Hopfield model of neural networks for detection of bright spots

Kou-Yuan Huang, W. H. Liu, I. C. Chang

研究成果: Paper同行評審

3 引文 斯高帕斯(Scopus)

摘要

J. J. Hopfield at California Institute of Technology had proposed his famous neural networks and applied successfully in many applications. We have applied Hopfield net in our seismic pattern recognition system to detect bright-spot pattern from the simulated seismogram corrupted with noise. The Hopfield net can also recognize bright-spot, pinch-out.....etc.. The recognition power is quite surprising. Neural network computing is quite promising and may be a breakthrough in seismic pattern recognitions and seismic interpretations.

原文English
頁面444-446
頁數3
DOIs
出版狀態Published - 1 1月 1989
事件1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989 - Dallas, United States
持續時間: 29 10月 19892 11月 1989

Conference

Conference1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989
國家/地區United States
城市Dallas
期間29/10/892/11/89

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