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
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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.
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.
引文
[1]KoskoB.1987aFuzzyAssociativeMemoriesinAKandel(ed).FuzzExpertSystem,Reading,MA,AddisonWesley.[2]Kosko,B,NeuralNetworksandFazzySystems-ADynamitalSystemsApproachforMachineIntellegence,PrenticeHall,EnglawoodCliffs,1991.323—326,327—328,329—333,227—228.[3]庄昆元,王炜等.地震预报专家系统,北京:地震出版社,1991,84-86.[4]中国科学技术大学生物医学工程跨系委员会编.神经网络及其应用.合肥:中国科学技术大学出版社。1992年,149—150.

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