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Description
  • 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.
  • 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. (en)
Title
  • Implement of Fuzzy logic system using Table Lookup Scheme by Java language to predict time series data
  • Implement of Fuzzy logic system using Table Lookup Scheme by Java language to predict time series data (en)
skos:prefLabel
  • Implement of Fuzzy logic system using Table Lookup Scheme by Java language to predict time series data
  • Implement of Fuzzy logic system using Table Lookup Scheme by Java language to predict time series data (en)
skos:notation
  • RIV/26479800:_____/11:#0000027!RIV12-MSM-26479800
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • N
http://linked.open...iv/cisloPeriodika
  • 6
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203787
http://linked.open...ai/riv/idVysledku
  • RIV/26479800:_____/11:#0000027
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Fuzzy logic, Fuzzy rule base, Hash Map, Prediction, Training, Testing. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • IT - Italská republika
http://linked.open...ontrolniKodProRIV
  • [6290C647362D]
http://linked.open...i/riv/nazevZdroje
  • International Review of Automatic Control (I.RE.A.CO.)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2011
http://linked.open...iv/tvurceVysledku
  • Kokeš, Josef
issn
  • 1974-6059
number of pages
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