Neural networks and machine learning / Bishop, Christopher M. (1998) 

Public ISBD Titre : Neural networks and machine learning Type de document : texte imprime Auteurs : Bishop, Christopher M., Editeur scientifique ; NATO Advanced Study Institute on Microelectronic Materials and Processes, Auteur Editeur : Springer Berlin Heidelberg Année de publication : 1998 Importance : 353 p. Présentation : ill. Format : 24cm ISBN/ISSN/EAN : 978-3-540-64928-1 Note générale : Includes bibliographical references and index. Langues : Anglais Mots-clés : Neural networks (Computer science)  Machine learning  Réseaux neuronaux (informatique)  Apprentissage automatique Résumé : In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern recognition, and make use of feedforward network architectures such as the multilayer perceptron and the radial basis function network. Also, it has become widely acknowledged that successful applications of neural computing require a principled, rather than ad hoc, approach. (From the preface to "Neural Networks for Pattern Recognition" by C.M. Bishop, Oxford Univ Press 1995.) This NATO volume, based on a 1997 workshop, presents a coordinated series of tutorial articles covering recent developments in the field of neural computing. It is ideally suited to graduate students and researchers. En ligne : https://www.amazon.fr/Neural-Networks-Machine-Learning-Christopher/dp/354064928X [...] Permalink : ./index.php?lvl=notice_display&id=15158 Neural networks and machine learning [texte imprime] / Bishop, Christopher M., Editeur scientifique ; NATO Advanced Study Institute on Microelectronic Materials and Processes, Auteur . - Allemagne : Springer Berlin Heidelberg, 1998 . - 353 p. : ill. ; 24cm. ISBN : 978-3-540-64928-1 Includes bibliographical references and index. Langues : Anglais Mots-clés : Neural networks (Computer science)  Machine learning  Réseaux neuronaux (informatique)  Apprentissage automatique Résumé : In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern recognition, and make use of feedforward network architectures such as the multilayer perceptron and the radial basis function network. Also, it has become widely acknowledged that successful applications of neural computing require a principled, rather than ad hoc, approach. (From the preface to "Neural Networks for Pattern Recognition" by C.M. Bishop, Oxford Univ Press 1995.) This NATO volume, based on a 1997 workshop, presents a coordinated series of tutorial articles covering recent developments in the field of neural computing. It is ideally suited to graduate students and researchers. En ligne : https://www.amazon.fr/Neural-Networks-Machine-Learning-Christopher/dp/354064928X [...] Permalink : ./index.php?lvl=notice_display&id=15158

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