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    ESANN
    2004
    83views Neural Networks» more  ESANN 2004»
    Shear strength prediction using dimensional analysis and functional networks
    13 years 9 months ago
    Shear strength prediction using dimensional analysis and functional networks
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    This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets o...
    Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fo...
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    ESANN
    2004
    115views Neural Networks» more  ESANN 2004»
    Input arrival-time-dependent decoding scheme for a spiking neural network
    13 years 9 months ago
    Input arrival-time-dependent decoding scheme for a spiking neural network
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    Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
    Hesham H. Amin, Robert H. Fujii
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    ESANN
    2004
    87views Neural Networks» more  ESANN 2004»
    A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
    13 years 9 months ago
    A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
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    In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
    Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
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    ESANN
    2004
    115views Neural Networks» more  ESANN 2004»
    Convergence properties of a fuzzy ARTMAP network
    13 years 9 months ago
    Convergence properties of a fuzzy ARTMAP network
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    FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...
    Razvan Andonie, Lucian Sasu
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    ESANN
    2004
    123views Neural Networks» more  ESANN 2004»
    Flexible and Robust Bayesian Classification by Finite Mixture Models
    13 years 9 months ago
    Flexible and Robust Bayesian Classification by Finite Mixture Models
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    Abstract. The regularized Mahalanobis distance is proposed in the framework of finite mixture models to avoid commonly faced numerical difficulties encountered with EM. Its princip...
    Cédric Archambeau, Frédéric V...
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