Deep belief neural network-based arrival picking for microseismic data

Deep belief neural network-based arrival picking for microseismic data

Accurate arrival picking for microseismic signal is the basis for techniques such as source location.Most of the traditional methods for picking-up the first arrival of the events depend on manual intervention and require high signal to noise ratio(SNR) for the acquired data.In order to improve the...

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Bibliographic Details
Main Authors: Zheng Jing, Cao Ziyuan, Jiang Tianqi, Shen Shuaishuai
Format: Article
Language:English
Published: Emergency Management Press 2018-12-01
Series:矿业科学学报
Subjects:
arrival picking
s-transform
deep belief neural network
Online Access:http://kykxxb.cumtb.edu.cn/article/id/180

Internet

http://kykxxb.cumtb.edu.cn/article/id/180

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