The FAM (fuzzy associative memory) neural network model and its application in earthquake prediction

FAM (Fuzzy Associative Memory) Network Model, FAM Adaptive Learning Algorithm and Principal of FAM Inference Machine are introduced, and successfully application to "New Generation Expert System for Earthquake Prediction" (NGESEP). This system has good function for knowledge learning witho...

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Bibliographic Details
Published in:Acta seismologica sinica 1997-05, Vol.10 (3), p.321-328
Main Authors: Wang, Wei, Wu, Geng-Feng, Huang, Bin-Shu, Zhuang, Kun-Yuan, Zhou, Pei-Ling, Jiang, Chun-Xi, Li, Dong-Sheng, Zhou, Yun-Hao
Format: Article
Language:English
Subjects:
Associative memory
Earthquake prediction
Earthquakes
Expert systems
Fuzzy
Fuzzy logic
Fuzzy set theory
Learning
Mathematical models
Neural networks
Predictions
Seismic activity
Seismology
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Summary:FAM (Fuzzy Associative Memory) Network Model, FAM Adaptive Learning Algorithm and Principal of FAM Inference Machine are introduced, and successfully application to "New Generation Expert System for Earthquake Prediction" (NGESEP). This system has good function for knowledge learning without disadvantages of neural network, which the learned knowledge implied in network is difficult to be understood or interpreted by expert system.[PUBLICATION ABSTRACT]
ISSN:1000-9116
1674-4519
1993-1344
1867-8777
DOI:10.1007/s11589-997-0070-7