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    » Neural Network Regressions with Fuzzy Clustering
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    WCE
    2007
    154views Electrical And Computer Engi...» more  WCE 2007»
    Neural Network Regressions with Fuzzy Clustering
    13 years 5 months ago
    Neural Network Regressions with Fuzzy Clustering
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    S. I. Ao
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    IADIS
    2008
    174views Internet Technology» more  IADIS 2008»
    Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
    13 years 6 months ago
    Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
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    The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
    Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
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    EUSFLAT
    2009
    312views Fuzzy Logic» more  EUSFLAT 2009»
    Forecasting Exchange Rates: A Neuro-Fuzzy Approach
    13 years 2 months ago
    Forecasting Exchange Rates: A Neuro-Fuzzy Approach
    Download  www.eusflat.org
    This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
    Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
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    ICIC
    2007
    Springer
    96views Applied Computing» more  ICIC 2007»
    Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
    13 years 10 months ago
    Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
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    Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
    Julio César Tovar, Wen Yu, Xiaoou Li
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    NN
    2006
    Springer
    163views Neural Networks» more  NN 2006»
    Machine learning approaches for estimation of prediction interval for the model output
    13 years 4 months ago
    Machine learning approaches for estimation of prediction interval for the model output
    Download  www.unesco-ihe.org
    A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
    Durga L. Shrestha, Dimitri P. Solomatine
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