The application of neural networks to comprehensive prediction by seismology prediction method

• 作 者: 王炜 吴耿锋 宋先月
• 出 处: Acta Seismologica Sinica(English Edition)
• 发表日期: 2000年02期
• 关键词: moderate anomalous anomaly import deviation false prevail twelve accumulated hid

BP neural networks is used to mid-term earthquake prediction in this paper. Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networks is called as the character parameter W_0 describing enhancement of seismicity. We applied this method to space scanning of North China. The result shows that the mid-term anomalous zone of W_0-value usually appeared obviously around the future epicenter 1~3 years before earthquake. It is effective to mid-term prediction.

Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networks are called as the character parameter W_0 describing enhancement of seismicity. We applied this method to space scanning of North China. The result shows that the mid-term anomalous zone of W_0-value usually was obviously around the future epicenter 1 ~ 3 years ago earthquake. It is effective to mid-term prediction.