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基于人工神经网络的地震活动性研究
引用本文:冯利华. 基于人工神经网络的地震活动性研究[J]. 地震工程学报, 2000, 22(4): 402-406
作者姓名:冯利华
作者单位:浙江师范大学地理系,浙江,金华,321004
摘    要:人工神经网络通过神经元之间的相互作用来完成整个网络的信息处理,具有自学习和自适应等一系列优点,因而用它来进行地震活动性研究是可行的。针对地震活动性问题,初步建立了基于人工神经网络的计算分析系统,给出了应用实例。

关 键 词:地震活动性 人工神经网络 BP算法 计算分析系统
收稿时间:1999-07-03
修稿时间:1999-07-03

ON THE SEISMIC ACTIVITY BASED ON THE NEURAL NETWORK
FENG Li-hua. ON THE SEISMIC ACTIVITY BASED ON THE NEURAL NETWORK[J]. China Earthguake Engineering Journal, 2000, 22(4): 402-406
Authors:FENG Li-hua
Affiliation:Department of Geography, Zhejiang Normal University, Jinhua 321004, China
Abstract:The artificial neural network can complete the news treatment of the whole network by means of a mutual function between the neural units, and has a lot of merits of self learning, self adjusting and suchlike. Therefore it is feasible that the seismic activity is researched by the neural network.The analysis system based on the neural network is initially set up and an applied example is put forward in the light of the problem of seismic activity.
Keywords:Seismic activity  Artificial neural network  Back propagation algorithm
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