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Artificial Neural Network Technology: for the Classification and Cartography of Scientific and Technical Information

Abstract : This paper describes the implementation of multivariate data analysis: NEURODOC applies the axial k-means method for automatic, non-hierarchical cluster analysis and a Principal Component Analysis (PCA) for representing the clusters on a map. We next introduce Artificial Neural Networks (ANNs) to extend NEURODOC into a neural platform for the cluster analysis and cartography of bibliographic data. The ANNs tested are: the Adaptive Resonance Theory (ART 1), a Multilayer Perceptron (MLP), and an associative network with unsupervised learning (KOHONEN). This platform is intended for quantitative analysis of information
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https://hal.archives-ouvertes.fr/hal-00161166
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Submitted on : Tuesday, July 10, 2007 - 9:25:38 AM
Last modification on : Friday, March 12, 2021 - 2:34:34 PM
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Xavier Polanco, Claire François, Jean-Pierre Keim. Artificial Neural Network Technology: for the Classification and Cartography of Scientific and Technical Information. Scientometrics, Springer Verlag, 1998, 41 (1), pp.69-82. ⟨hal-00161166⟩

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