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人工神经网络方法在地震预报中的初步应用
TO APPROACH THE APPLICATION OF ARTIFICIAL NEURAL NETWORK TO THE EARTHQUAKE PREDICTION
【摘要】 以陕西地区的地震为例,探讨了人工神经网络方法在地震预报中的应用。预报因子采用Keilis-Borok提出的地震流函数。结果表明,人工神经网络方法能够较好地学习复杂的预报因子和预报对象的关系,模拟地震预报问题,预报效果也较好,有广阔的应用前景。
【Abstract】 Taking earthquakes occurred in Shanxi,this paper probed the application of artificial Neural Network to the earthquake Prediction. The earthquake flow functions,privided by Keilis-Borok,are used as the prediction factors.The results show that the Artificial Neural network can remember the complicate relationship between the prediction factors and objects,and simulate earthquake prediction ploblem,and could get a good prediction effect.So it is in prospect extensively.
- 【文献出处】 华南地震 ,SOUTH CHINA JOURNAL OF SEISMOLOGY , 编辑部邮箱 ,1994年02期
- 【分类号】P315.7
- 【被引频次】5
- 【下载频次】62