摘要
人工神经网络是新近发展起来的一项高新仿生信息处理技术，本文以地震潜在震源区识别为例，探讨了人工神经网络分类识别在地震危险性分析中应用的可行性和前景，结果表明，人工神经网络具有识别精度高、方法简单、适应性强等多项优点，在地震危险性分析、烈度评定、地震预报等方面具有广阔应用前景。
This paper approaches the effects and the foreground of the application of the Atificial Neural Net works to the seismic risk analysis taking potential earthquake source recognition.The results show that the method is of higher precision,simple and adaptability and has extensive potential use in the aspects such as seismic risk analysis,intensity appreciation and earthquake prediction.
出处
《高原地震》
1994年第1期15-21,共7页
Plateau Earthquake Research
关键词
人工神经网络
地震危险性分析
Atificial Neural Networks Seismic risk analysis
