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    ASC
    2007
    153views Artificial Intelligence» more  ASC 2007»
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    13 years 9 months ago
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    Download  icsl.gatech.edu
    We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
    Abhinav Saxena, Ashraf Saad
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    ESWA
    2006
    154views more  ESWA 2006»
    Artificial neural networks with evolutionary instance selection for financial forecasting
    13 years 9 months ago
    Artificial neural networks with evolutionary instance selection for financial forecasting
    Download  sci2s.ugr.es
    In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
    Kyoung-jae Kim
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    TNN
    2008
    138views more  TNN 2008»
    A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
    13 years 9 months ago
    A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
    Download  www.ece.utk.edu
    This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
    Zhenzhen Liu, Itamar Elhanany
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    TNN
    1998
    111views more  TNN 1998»
    Modular recurrent neural networks for Mandarin syllable recognition
    13 years 9 months ago
    Modular recurrent neural networks for Mandarin syllable recognition
    Download  www.ntut.edu.tw
    Abstract—A new modular recurrent neural network (MRNN)based speech-recognition method that can recognize the entire vocabulary of 1280 highly confusable Mandarin syllables is pro...
    Sin-Horng Chen, Yuan-Fu Liao
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    ESWA
    2010
    118views more  ESWA 2010»
    Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
    13 years 8 months ago
    Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
    Download  w3.cyu.edu.tw
    The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
    Chi-Jie Lu
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