节点文献
基于BP神经网络的地震信号识别分类
DISCRIMINATION AND CLASSIFICATION OF SEISMIC SIGNALS BY BP NEURAL NETWORKS
【摘要】 本文主要讨论了利用BP神经网络对天然地震信号与地下爆炸形成的地震信号的识别分类问题,其中包括网络输入向量的选取等。结果表明,用此方法对地震信号进行识别分类是十分有效的。
【Abstract】 It is discussed in this paper to classify seismic events caused by natural earthquake and underground explosions using BP neural networks.It is also included how to construct the input vectors of the network for training.The result shows that the method is available and effective.
- 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2005年07期
- 【分类号】P315.6
- 【被引频次】21
- 【下载频次】309