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基于SVR算法与BP神经网络的地震预测对比研究
引用本文:盛涛,谢异同,曲高峰.基于SVR算法与BP神经网络的地震预测对比研究[J].长江大学学报,2009(1):63-64,87.
作者姓名:盛涛  谢异同  曲高峰
作者单位:西安建筑科技大学土木工程学院,陕西西安710055
摘    要:针对地震诱发因素的多样性和难预测性,采用了支持向量机回归算法(Support Vecfor Regressive,SVR),同时考虑多种因素,构建仿真模型,对震级进行了准确的预测。对比分析SVR和BP神经网络预测结果,证明了SVR预测结果速度更快、更准确、精确度更高。

关 键 词:支持向量机回归算法  BP神经网络  震级  地震预测

Comparison Between SVR and BP-ANN in Prediction of Earthquake
SHENG Tao,XIE Yi-tong,QU Gao-feng.Comparison Between SVR and BP-ANN in Prediction of Earthquake[J].Journal of Yangtze University,2009(1):63-64,87.
Authors:SHENG Tao  XIE Yi-tong  QU Gao-feng
Institution:SHENG Tao,XIE Yi-tong,QU Gao-feng(Xi'an University of Architecture , Technology,Xi'an 710055)
Abstract:Aimed at the diversity of induced factors to earthquake and the difficulty of prediction,support vector regression is adopted to predict the magnitude in this paper by simulation method,at the sametime other factors are considered,emulation model is built,the level of earthquake is predicted.The prediction results of the SVR are proved to be more accurate compared with normal BP artifi-cal neural network.
Keywords:support vector regression  BP network  magnitude  the earthquake prediction  
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