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    GECCO
    2004
    Springer
    103views Optimization» more  GECCO 2004»
    Training Neural Networks with GA Hybrid Algorithms
    13 years 10 months ago
    Training Neural Networks with GA Hybrid Algorithms
    Download  www.lcc.uma.es
    Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
    Enrique Alba, J. Francisco Chicano
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    ASC
    2004
    170views Artificial Intelligence» more  ASC 2004»
    Extracting rules from trained neural network using GA for managing E-business
    13 years 4 months ago
    Extracting rules from trained neural network using GA for managing E-business
    Download  www.angelfire.com
    Theabilitytointelligentlycollect,manageandanalyzeinformationaboutcustomersandsellersisakeysourceofcompetitive advantage for an e-business. This ability provides an opportunity to ...
    Atta Ebrahim E. ElAlfi, R. Haque, M. Esmel ElAlami
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    FLAIRS
    1998
    142views Artificial Intelligence» more  FLAIRS 1998»
    Aflatoxin Prediction Using a GA Trained Neural Network
    13 years 6 months ago
    Aflatoxin Prediction Using a GA Trained Neural Network
    Download  www.aaai.org
    Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
    C. E. Henderson, Walter D. Potter, Ronald W. McCle...
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    ENGL
    2006
    84views more  ENGL 2006»
    A framework for neural network to make business forecasting with hybrid VAR and GA components
    13 years 4 months ago
    A framework for neural network to make business forecasting with hybrid VAR and GA components
    Download  www.engineeringletters.com
    Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
    Sio Iong Ao
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    IEAAIE
    1998
    Springer
    106views Artificial Intelligence» more  IEAAIE 1998»
    Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing
    13 years 9 months ago
    Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing
    Download  www.sztaki.hu
    The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regar...
    Laszlo Monostori, József Hornyák, Cs...
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