| FAM人工神经网络模型在震后趋势判断中的应用 |
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| 引用本文： | 丛沛桐,薄景山,刘红帅,吴卫雄.FAM人工神经网络模型在震后趋势判断中的应用[J].华南地震,2006,26(4):1-7. |
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| 作者姓名： | 丛沛桐 薄景山 刘红帅 吴卫雄 |
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| 作者单位： | 1. 华南农业大学水利与土木工程学院,广东,广州,510642
2. 中国地震局工程力学研究所,黑龙江,哈尔滨,150040 |
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| 摘 要： | 介绍了FAM模糊人工神经网络的原理、学习方法与规则,提出了用于地震震后序列3种震型的判断标准及现场预报规则,建立了基于FAM人工神经网络模型的地震现场预报手段与准则.
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| 关 键 词： | FAM模型 人工神经网络 震后趋势判断 |
| 文章编号： | 1001-8662（2006）04-0001-07 |
| 收稿时间： | 2006-12-18 |
| 修稿时间： | 2006年12月18 |
Application of Artificial Neural Networks FAM Model to Prediction of Seismic Trend after Main Shock |
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| CONG Peitong,BO Jingshan,LIU Hongshuai,WU Weixiong.Application of Artificial Neural Networks FAM Model to Prediction of Seismic Trend after Main Shock[J].South China Journal of Seismology,2006,26(4):1-7. |
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| Authors: | CONG Peitong BO Jingshan LIU Hongshuai WU Weixiong |
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| Institution: | 1. College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China; 2. Institute of Engineering Mechanics, CEA, Harbin 150080, China |
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| Abstract: | The principle, Learning and rules of Fuzzy Artificial Neural Network FAM Model are introduced in the paper. The judgment standards for three seismic sequence types after main shock and the on-the-spot predicting rules are put forward, and the on-the-spot predicting measurements and rules based on Fuzzy Artificial Neural Network FAM model are established. |
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| Keywords: | FAM Model Artificial Neural Network Prediction of seismic trend after main shock |
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