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    ESANN
    2001
    143views Neural Networks» more  ESANN 2001»
    Transfer functions: hidden possibilities for better neural networks
    13 years 6 months ago
    Transfer functions: hidden possibilities for better neural networks
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    Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
    Wlodzislaw Duch, Norbert Jankowski
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    ESANN
    2001
    129views Neural Networks» more  ESANN 2001»
    Penalized least squares, model selection, convex hull classes and neural nets
    13 years 6 months ago
    Penalized least squares, model selection, convex hull classes and neural nets
    Download  www.dice.ucl.ac.be
    We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
    Gerald H. L. Cheang, Andrew R. Barron
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    ESANN
    2001
    139views Neural Networks» more  ESANN 2001»
    Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture
    13 years 6 months ago
    Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture
    Download  www.dice.ucl.ac.be
    Aim of the present article is to show the results obtained from the application of neuro-fuzzy methodology in the solution of agriculture problems like the Bactrocera Oleae (olive...
    Elena Bellei, Diego Guidotti, Ruggero Petacchi, Le...
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    ESANN
    2001
    141views Neural Networks» more  ESANN 2001»
    Canonical correlation analysis in early vision processing
    13 years 6 months ago
    Canonical correlation analysis in early vision processing
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    This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...
    Magnus Borga, Hans Knutsson
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    ESANN
    2001
    103views Neural Networks» more  ESANN 2001»
    Intelligent hardware for identification and control of non-linear systems with SVM
    13 years 6 months ago
    Intelligent hardware for identification and control of non-linear systems with SVM
    Download  www.dice.ucl.ac.be
    Support Vector Machines are gaining more and more acceptance thanks to their success in many real
    Andrea Boni, Fabio Bardi
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    ESANN
    2001
    102views Neural Networks» more  ESANN 2001»
    Some known facts about financial data
    13 years 6 months ago
    Some known facts about financial data
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    : Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
    Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
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    ESANN
    2006
    124views Neural Networks» more  ESANN 2006»
    Weighted differential topographic function: a refinement of topographic function
    13 years 6 months ago
    Weighted differential topographic function: a refinement of topographic function
    Download  www.dice.ucl.ac.be
    Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
    Lili Zhang, Erzsébet Merényi
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    ESANN
    2006
    120views Neural Networks» more  ESANN 2006»
    Optimal design of hierarchical wavelet networks for time-series forecasting
    13 years 6 months ago
    Optimal design of hierarchical wavelet networks for time-series forecasting
    Download  www.softcomputing.net
    The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
    Yuehui Chen, Bo Yang, Ajith Abraham
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    ESANN
    2006
    103views Neural Networks» more  ESANN 2006»
    Entropy-based principle and generalized contingency tables
    13 years 6 months ago
    Entropy-based principle and generalized contingency tables
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    Vincent Vigneron
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    ESANN
    2006
    187views Neural Networks» more  ESANN 2006»
    Visualizing gene interaction graphs with local multidimensional scaling
    13 years 6 months ago
    Visualizing gene interaction graphs with local multidimensional scaling
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    Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
    Jarkko Venna, Samuel Kaski
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