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    IJCAI
    1997
    158views Artificial Intelligence» more  IJCAI 1997»
    Extracting Propositions from Trained Neural Networks
    13 years 6 months ago
    Extracting Propositions from Trained Neural Networks
    Download  dli.iiit.ac.in
    This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
    Hiroshi Tsukimoto
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    DATE
    2003
    IEEE
    114views Hardware» more  DATE 2003»
    Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
    13 years 10 months ago
    Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
    Download  www.cs.hofstra.edu
    This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
    Simona Doboli, Gaurav Gothoskar, Alex Doboli
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    ESANN
    2003
    132views Neural Networks» more  ESANN 2003»
    Extraction of fuzzy rules from trained neural network using evolutionary algorithm
    13 years 6 months ago
    Extraction of fuzzy rules from trained neural network using evolutionary algorithm
    Download  www.dice.ucl.ac.be
    This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
    Urszula Markowska-Kaczmar, Wojciech Trelak
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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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    IJAR
    2006
    133views more  IJAR 2006»
    Extraction of similarity based fuzzy rules from artificial neural networks
    13 years 4 months ago
    Extraction of similarity based fuzzy rules from artificial neural networks
    Download  hera.ugr.es
    A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
    Carlos Javier Mantas, José Manuel Puche, J....
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