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Self-Organizing Maps
Teuvo Kohonen (Unbekannter Einband, Englisch)
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Beschreibung
Since the second edition of this book came out in early 1997, the number of scientific papers published on the Self-Organizing Map (SOM) has increased from about 1500 to some 4000. Also, two special workshops dedicated to the SOM have been organized, not to mention numerous SOM sessions in neural network conferences. In view of this growing interest it was felt desirable to make extensive… revisions to this book. They are of the following nature. Statistical pattern analysis has now been approached more carefully than earlier. A more detailed discussion of the eigenvectors and eigenvalues of symmetric matrices, which are the type usually encountered in statistics, has been included in Sect. 1.1.3: also, new probabilistic concepts, such as factor analysis, have been discussed in Sect. 1.3.1. A survey of projection methods (Sect. 1.3.2) has been added, in order to relate the SOM to classical paradigms. Vector Quantization is now discussed in one main section, and derivation of the pointdensity of the codebook vectors using the calculus of variations has been added, in order to familiarize the reader with this otherwise com plicated statistical analysis. It was also felt that the discussion of the neural-modeling philosophy should include a broader perspective of the main issues. A historical review in Sect. 2.2, and the general philosophy in Sects. 2.3, 2.5 and 2.14 are now expected to especially help newcomers to orient themselves better amongst the profusion of contemporary neural models. 235,39 €
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Technische Daten
Erscheinungsdatum
16.11.2000
Sprache
Englisch
EAN
9783540679219
Herausgeber
Springer Berlin
Serien- oder Bandtitel
Springer Series in Information Sciences
Sonderedition
Nein
Autor
Teuvo Kohonen
Seitenanzahl
502
Auflage
3
Einbandart
Broschiert
Schlagwörter
Adaptive and Learning Networks, Adaptive und Lernende Netze, CON_D044, Cluster Analysis, Klassifikator, Klusteranalyse, Lernen ohne Lehrer, Neural Networks, Neuronale Netze, Selbstlernen, Selbstorganisierende Karten, pattern recognition, self-organizing m
Thema-Inhalt
GPFC - Kybernetik und Systemtheorie
PHVN - Biophysik
TJK - Nachrichtententechnik, Telekommunikation
PHU - Mathematische Physik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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