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Journal ArticleDOI

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

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TLDR
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).
Abstract
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.

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Book

Fuzzy logic in geology

TL;DR: This book discusses Fuzzy Logic in Geological Sciences, Hydrology and Water Resources, and its applications to Reef Growth Problem and Stratigraphic Modeling.
Journal ArticleDOI

Earthquake magnitude prediction by adaptive neuro-fuzzy inference system (ANFIS) based on fuzzy C-means algorithm

TL;DR: This paper investigates the prediction of future earthquakes that would occur with magnitude 5.5 or greater using adaptive neuro-fuzzy inference system (ANFIS) and showed that ANFIS-FCM with a high accuracy was able to predict earthquake magnitude.
Journal ArticleDOI

A rule extraction based approach in predicting derivative use for financial risk hedging by construction companies

TL;DR: An automatic expert model using a rule extraction based approach that provides practitioners with a prediction tool for the hedging of financial risks through the use of derivatives can be established for the benefit of the construction practitioners.

Performance investigation of neuro-fuzzy system for earthquake prediction

TL;DR: In this article, the ability of Adaptive Neuro-Fuzzy Inference System (ANFIS) for the seismic moment prediction of the next earthquake has been investigated and the test results with correlation factor 98% showed that ANFIS can be a useful tool for earthquake prediction.
Book ChapterDOI

Fuzzy logic in geological sciences: a literature review.

TL;DR: Fuzzy logic has been used in various branches of geological sciences, sometimes in the broader context of soft computing as discussed by the authors, such as the study of volcanoes, fuzzy rule-based model to study simulation of latent heat fluxes of coniferous forests, and fuzzy set theory to evaluate thermodynamic parameters in aqueous chemical-equilibrium calculations.
References
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Book

Self Organization And Associative Memory

Teuvo Kohonen
TL;DR: The purpose and nature of Biological Memory, as well as some of the aspects of Memory Aspects, are explained.
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What is knowledge representation in artificial neural network?

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.