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Implement of Fuzzy Logic system using table lookup scheme by Java language to predict time series data

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2 Author(s)
Kokes, J. ; Dept. of Autom. control & Eng. Inf., Czech Tech. Univ. in Prague, Prague, Czech Republic ; Nghien, N.B.

Forecasting the future time series values from the past values plays important role in daily life. There are some techniques support for time series analysis such as statistics, Neural Network (NN), Fuzzy Logic (FL) and fusion NN and FL. However, there is lack of easy, free and visual tools for users to analysis time series data. In this paper we try to use Java program language to implement of Fuzzy Logic system using table lookup scheme to predict time series data. The results of our experiments show that our tool can give a high accuracy of prediction results. Since program is written in Java language so it can run across hardware and software platform and easily embed into website for user run through Internet.

Published in:

Carpathian Control Conference (ICCC), 2012 13th International

Date of Conference:

28-31 May 2012

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