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0模糊联想存储器及自适应学习算法在地震预报中的应用
Fuzzy Associative Memory and Adaptive Learning Algorithms and their Applications to Earthquake Prediction
【摘要】 介绍了模糊联想存储器FAM(FuzzyAssociativeMemory)的基本结构、FAM的自适应学习算法以及FAM推理机的原理,并成功地将其用于地震预报专家系统中.其成果表现为:在知识获取方面,用积空间聚类的方法,自适应地产生地震预报规则;在推理方面,用FAM推理机实现了对结构性语言经验的综合推理.
【Abstract】 The architecture of Fuzzy Associative Memory(FAM),adaptive learning algorithms of FAM and its improvements and FAM inference engine are introduced in the paper.Their applications to the expert system of earthquake prediction are presented as well.Two advantages have been obtained from the applications.First,the earthquake prediction rules can be adaptively produced with adaptive clustering algorithm; Secondly,synthetic inference to the structured knowledge can be realized with FAM inference engine.
【关键词】 模糊联想存储器;
模糊神经网络;
专家系统;
积空间聚类;
自适应学习;
【Key words】 fuzzy associative memory; fuzzy neural network; expert tystem; product-space clustering; adaptive learning;
【Key words】 fuzzy associative memory; fuzzy neural network; expert tystem; product-space clustering; adaptive learning;
- 【文献出处】 中国科学技术大学学报 ,JOURNAL OF CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY , 编辑部邮箱 ,1996年02期
- 【分类号】TP333
- 【被引频次】3
- 【下载频次】31