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| 基于遗传算法的广义回归神经网络在地震预测中的应用 | |
| 引用本文： | 韩晓飞,潘存英,罗词建.基于遗传算法的广义回归神经网络在地震预测中的应用[J].华北地震科学,2012,30(1):48-53. |
| 作者姓名： | 韩晓飞 潘存英 罗词建 |
| 作者单位： | 1. 中国科学技术大学,合肥230026;陕西省地震局,西安710068 2. 韩城地震台,陕西韩城,715403 3. 陕西省地震局,西安,710068 |
| 摘 要： | 提出了利用基于遗传算法结合广义回归神经网络（GRNN）进行地震预测的新方法。利用遗传算法的全局搜索能力、不易陷入局部极小点等优点来优化GRNN的径向基函数中心、宽度以及输出层的权值，使得计算结果全局最优。在实际地震数据中选取了100组样本数据进行仿真实验，并利用MATLAB进行仿真。仿真结果表明，本文提出的方法具有较高的精度和一定的理论指导意义。 |
| 关 键 词： | 广义回归神经网络 遗传算法 地震预测 |
Application of Generalized Regression Neural Network Based on Genetic Algorithm in Earthquake Predication |
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| HAN Xiao-fei , PAN Cun-ying , LUO Ci-jian.Application of Generalized Regression Neural Network Based on Genetic Algorithm in Earthquake Predication[J].North China Earthquake Sciences,2012,30(1):48-53. | |
| Authors: | HAN Xiao-fei PAN Cun-ying LUO Ci-jian |
| Institution: | 1.University of Science and Technology of China,Hefei 230026,Anhui,China; 2.Earthquake Administraton of Shaanxi Province,Xi’an 710068,Shaanx,China; 3.Hancheng Seismic Station,Hancheng 715403,Shaanxi,China) |
| Abstract: | A new method was proposed to predict earthquake through using generalized regression neural network(GRNN) based on genetic algorithm(GA).Global optimum can be found through using GA’s ability of global searching and being not liable to get the minimum to optimize the the center and width of radial basis function and weights of output layer.At last,using100 sample data obtained from actual earthquake,a simulation experiment is done based on MATLAB.The simulation shows that the method has a good result. |
| Keywords: | generalized regression neural network genetic algorithm earthquake prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |