Application of BP Neural Network Based on Rough Set in the Earthauake Case

详细信息   

• 责任者：Dong Xiaona (Earthquake Administration of Shandong Province ; Jinan 250014 ; China) ; Su Daolei
• 刊名：Journal of Seismological Research
• 出版年：2012
• 卷期：35(2)
• 关键词：地震预测 ; earthquake prediction ; BP神经网络系统 ; BP neural network system
• 页码：p.251-259
• 图表：4 illus., 6 tables, 30 refs.
• 分类号：0500
• issnNo：ISSN1000-0666
• isbnNo：CN53-1062/P

摘要

///Firstly, using “China earthquake case” as data source, the authors built a fairly complete sample set for earthquake case study through preliminary analysis and pretreatment and introduced the combination of Rough Set and BP Neural Network to the earthquake case. Secondly, the authors selected the core abnormalities which plays a decisive role in final classification from a number of complex seismic anomaly indicators as the input by use of attribute reduction algorithm based on Rough Set, and took the discrete magnitude as the output. Furthermore, the authors built a generalized BP Neural Network model to simulate the uncertain relationship between the seismic anomaly and the earthquake. Finally, the result of simulation tests showed that the precision errors of earthquake magnitude prediction is between -0.5 and 0.5.