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    TNN
    1998
    146views more  TNN 1998»
    An analytical framework for local feedforward networks
    13 years 11 months ago
    An analytical framework for local feedforward networks
    Download  www.leemon.com
    Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
    S. Weaver, L. Baird, Marios M. Polycarpou
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    TNN
    1998
    89views more  TNN 1998»
    Fast training of recurrent networks based on the EM algorithm
    13 years 11 months ago
    Fast training of recurrent networks based on the EM algorithm
    Download  users.ece.gatech.edu
    — In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...
    Sheng Ma, Chuanyi Ji
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    TNN
    1998
    146views more  TNN 1998»
    Fuzzy lattice neural network (FLNN): a hybrid model for learning
    13 years 11 months ago
    Fuzzy lattice neural network (FLNN): a hybrid model for learning
    Download  techlab.bu.edu
    — This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
    Vassilios Petridis, Vassilis G. Kaburlasos
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    TNN
    1998
    77views more  TNN 1998»
    Self-organization of spiking neurons using action potential timing
    13 years 11 months ago
    Self-organization of spiking neurons using action potential timing
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    Berthold Ruf, Michael Schmitt
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    TNN
    1998
    111views more  TNN 1998»
    Asymptotic distributions associated to Oja's learning equation for neural networks
    13 years 11 months ago
    Asymptotic distributions associated to Oja's learning equation for neural networks
    Download  www-public.int-evry.fr
    — In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
    Jean Pierre Delmas, Jean-Francois Cardos
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    TNN
    1998
    254views more  TNN 1998»
    Comparative analysis of fuzzy ART and ART-2A network clustering performance
    13 years 11 months ago
    Comparative analysis of fuzzy ART and ART-2A network clustering performance
    Download  techlab.bu.edu
    —Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
    T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
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    TNN
    1998
    96views more  TNN 1998»
    Artificial neural networks for solving ordinary and partial differential equations
    13 years 11 months ago
    Artificial neural networks for solving ordinary and partial differential equations
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    Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fo...
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    TNN
    1998
    55views more  TNN 1998»
    A self-organizing neural tree for large-set pattern classification
    13 years 11 months ago
    A self-organizing neural tree for large-set pattern classification
    Download  cavr.korea.ac.kr
    Hee-Heon Song, Seong-Whan Lee
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    TNN
    1998
    73views more  TNN 1998»
    Long-term attraction in higher order neural networks
    13 years 11 months ago
    Long-term attraction in higher order neural networks
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    David Burshtein
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    TNN
    1998
    100views more  TNN 1998»
    A dynamical system perspective of structural learning with forgetting
    13 years 11 months ago
    A dynamical system perspective of structural learning with forgetting
    Download  ci.louisville.edu
    —Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
    D. A. Miller, J. M. Zurada
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