基于模糊神经网络和符号的地震预报专家系统NGESEP
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摘要
本文介绍了专家系统的发展、神经网络、模糊系统与专家系统相结合的优点以及新一代地震预报专家系统的构成等。该系统除具有传统专家系统的特点外,还因使用模糊联想记忆(FAM)神经网络模型而具有良好的学习功能。文中也对FAM神经网络模型及其应用作了介绍。
The development of expert systems, the advantage of the expert system combined with fuzzy system and neural network, and the constitute of the New Generation Expert System for Earthquake Prediction (NGESEP) are introduced in this paper. Besides the features of traditional expert system, NGESEP has the machine learning function by means of FAM (fuzzy associative memory) neural network. The FAM neural network and its application on earthquake researches are also introduced.
引文
王炜、庄昆元、黄冰树、夏士华、黎捷、刘文龙,1994,基于知识的地震现场预报系统KPSES,中国地震,Vol.10,No.1,89—92。张肇诚主编,1990,中国震例,地震出版社,北京。庄昆元、王炜、黄冰树、夏士华,1991,地震预报专家系统,地震出版社,北京。KohonenT.,1984,Self-organizationandassociativememory,Springer-Verlag,Berlin.KoskoB,1987,Fuzzyassociativememories,A.Kandel(ed),FuzzyExpertSystem,Reading,MA,Addison-Wesley.KoskoB,1991,Neuralnetworkandfuzzysystem—adynamicalsystemapproachformachineintellegence,PrenticeHall,EnglawsoodCliffs.

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