-
摘要: 依据神经网络理论,基于MATLAB的神经网络工具箱建立了一个BP神经网络预测模型,并通过对陕西省地震前兆数据的预测分析来检验模型的效果,实验结果证明该模型用于地震预测的可行性,操作简单灵活,直接面向用户,具有很好的应用价值。Abstract: According to neural network theoretic,a BP network prediction model is made based on the back propagation training functions in the MATLAB toolbox.Then the impression of the model is inspected by the analysis on the earthquake data of Shanxi.The study shows that,the BP prediction model can be used to forecasting earthquake,and its operation is easy.So BP network prediction model is an effective tool for the detection of earthquake,and it may have a wide application prospects.
-
Key words:
- MATLAB /
- BP neural network /
- earthquake prediction
-
[1] 李强, 徐戈, 杨彩霞.人工神经网络在潜在地震危险区估计中的应用[J].华北地震科学, 2007, 25(2):36-41. [2] 江丽, 甄少华.基于BP神经网络的液压系统故障诊断专家系统[J].机床与液压, 2002,(4):15-16. [3] 楼顺天, 施阳.基于MATLAB的系统分析与设计-神经网络[M].西安:西安电子科技大学出版社, 2000. [4] 国家地震局科技监测司.综合预报分册[M].北京:地震出版社, 1989. [5] 丛爽.面向MATLAB工具箱的神经网络理论与应用[M].北京:中国科学技术大学出版社, 1999. [6] 蔡航.基于神经网络的医疗诊断专家系统[J].数理医药学, 2002, 15(4):23-24. -

计量
- 文章访问数: 1459
- HTML全文浏览量: 227
- PDF下载量: 120