| 基于遗传神经网络的地震综合预测系统研究 |
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| 引用本文： | 陈秀琼,郭朝珍.基于遗传神经网络的地震综合预测系统研究[J].集美大学学报(自然科学版),2005,10(3):221-226. |
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| 作者姓名： | 陈秀琼 郭朝珍 |
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| 作者单位： | 1. 三明学院计算机科学系,福建,三明,365004
2. 福州大学数学与计算机科学学院,福建,福州,350002 |
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| 基金项目： | 福建省自然科学基金计划资助项目(A0310016) |
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| 摘 要： | 提出利用遗传神经网络技术对地震预测建模,其基本思想是利用遗传算法具有全局搜索能力、不易陷入局部极小点的特点优化神经网络的权重和阈值,利用优化的神经网络挖掘地震前兆异常属性和震级之间的潜在的关系,从而实现地震预测.并选取了《中国震例》中的97个样本数据进行实验,震例验证的结果表明,遗传神经网络算法用于大地震综合预测效果较理想.
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| 关 键 词： | 神经网络 遗传神经网络 地震综合预测 |
| 文章编号： | 1007-7405（2005）03-0221-06 |
| 收稿时间： | 2004-12-17 |
| 修稿时间： | 2004年12月17 |
Comprehensive Earthquake Prediction System Based on Genetic-Neural Network |
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| CHEN Xiu-qiong,GUO Chao-zhen.Comprehensive Earthquake Prediction System Based on Genetic-Neural Network[J].the Editorial Board of Jimei University(Natural Science),2005,10(3):221-226. |
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| Authors: | CHEN Xiu-qiong GUO Chao-zhen |
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| Abstract: | A model of earthquake prediction based on genetic-neural network is presented.The main(idea) is that the genetic algorithm can carry through whole-space search and it will not get into local extremum.So the genetic algorithm is able to optimize the proportion and the numeral of the BP algorithm which can search the area that includes whole-space minimum.Hence,genetic-neural network can explore the underlying relation between the abnormity of earthquake and the level of earthquake.The paper utilizes 97 samples which are selected from THE ERRTHQUAKE EXAMPLES OF CHINA to test the model.The results show that the genetic-neural network algorithm is more efficient in the comprehensive earthquake prediction. |
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| Keywords: | neural network genetic-neural network comprehensive earthquake prediction |
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