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- W2079293815 abstract "The Hopfield neural network (HNN) is adopted for velocity picking in the time-velocity semblance image of seismic data. A Lyapunov function in the HNN is set up from the velocity picking problem. We use the gradient descent method to decrease the Lyapunov function and derive the equation of motion. According to the equation of motion, each neuron is updated until no change. The converged network state represents the best polyline in velocity picking. We have experiments on simulated and real seismic data. The picking results are good and close to the human picking results." @default.
- W2079293815 created "2016-06-24" @default.
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- W2079293815 date "2014-07-01" @default.
- W2079293815 modified "2023-09-27" @default.
- W2079293815 title "Hopfield neural network for seismic velocity picking" @default.
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- W2079293815 doi "https://doi.org/10.1109/ijcnn.2014.6889512" @default.
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