人工神经元网络方法对首都圈地区潜在震源区的划分

指标选取是人工神经元网络方法应用中最基础，最重要的五环，是判别工作成败的关键。但目前尚没有比较成熟的指标选取或指标显著性评价方法。因此，指标问题入往成了方法效果进一步提高的“瓶颈”问题。该问题在潜在震源区划分应用中也同样存在。

Identification of Potential Seismic Sources in Beijing Area Using ANN

Index selection is essential in the application of Artificial Neural Network(ANN).In this paper,on the basis of analyzing the factors involved in the determination of upper-bound limit magnitude of potential seismic source,14 indexes are selected to form the index-set,and then the potential seismic sources in the Beijing Area are identified using those indexes and ANN. The result indicates that,because the index-set well incorporates main factors in the determination of the upper-bound limit magnitude,the accuracy is elevated,and the result is more detailed.