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oaioai:dspace.lib.ntua.gr:123456789/30394

Multi-network architecture for high generalization in pattern recognition with back-propagation neural network modules

Authors
  1. SG Tzafestas
  2. Y Anthopoulos
Publication date
1 January 1996
Publisher
Doi

    Abstract

    Abstract is not available.
    • backpropagation
    • backpropagation neural network
    • Function Approximation
    • Network Architecture
    • Networked Learning
    • Pattern Classification
    • Pattern Recognition
    • Algorithms
    • Approximation theory
    • Backpropagation
    • Computer architecture
    • Image analysis
    • Learning systems
    • Mathematical models
    • Neural networks
    • Random processes
    • Multinetwork architecture
    • Pattern recognition
    • backpropagation
    • backpropagation neural network
    • Function Approximation
    • Network Architecture
    • Networked Learning
    • Pattern Classification
    • Pattern Recognition
    • Algorithms
    • Approximation theory
    • Backpropagation
    • Computer architecture
    • Image analysis
    • Learning systems
    • Mathematical models
    • Neural networks
    • Random processes
    • Multinetwork architecture
    • Pattern recognition

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    DSpace@NTUA (National Technical Univ. of Athens)

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    Last time updated on 03/06/2016

    This paper was published in DSpace@NTUA (National Technical Univ. of Athens).

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