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Global convergence for discrete dynamical systems and forward neural networks - MaRDI portal

Global convergence for discrete dynamical systems and forward neural networks (Q2730869)

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scientific article; zbMATH DE number 1625078
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English
Global convergence for discrete dynamical systems and forward neural networks
scientific article; zbMATH DE number 1625078

    Statements

    27 October 2002
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    discrete dynamical system
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    forward neural network
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    global convergence
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    discontinuous neuron response
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    triangular form
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    Global convergence for discrete dynamical systems and forward neural networks (English)
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    Discrete dynamical systems of lower triangular form are studied. Global convergence of triangular maps is proved. Using this theorem, convergence properties of forward neural networks are established in the case when the neuron response functions fail to be continuous. The result is a generalization of more restrictive cases.
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