Kohonen maps:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
1999
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm. The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (ix, 390 p.) |
| ISBN: | 0080535291 044450270X 9780080535296 9780444502704 |
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| 500 | |a The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm. The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Réseaux neuronaux (Informatique) | |
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| discipline | Informatik |
| edition | 1st ed |
| format | Electronic eBook |
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| isbn | 0080535291 044450270X 9780080535296 9780444502704 |
| language | English |
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| spelling | Kohonen maps edited by Erkki Oja and Samuel Kaski 1st ed Amsterdam Elsevier 1999 1 Online-Ressource (ix, 390 p.) txt rdacontent c rdamedia cr rdacarrier The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm. The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed Includes bibliographical references and index Réseaux neuronaux (Informatique) Cartes auto-organisatrices COMPUTERS / Neural Networks bisacsh Neurale netwerken gtt Neural networks (Computer science) fast Self-organizing maps fast Neural networks (Computer science) Self-organizing maps Selbst organisierendes System (DE-588)4054424-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Neuronales Netz (DE-588)4226127-2 s Selbst organisierendes System (DE-588)4054424-2 s 2\p DE-604 Oja, Erkki Sonstige oth Kaski, Samuel Sonstige oth http://www.sciencedirect.com/science/book/9780444502704 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kohonen maps Réseaux neuronaux (Informatique) Cartes auto-organisatrices COMPUTERS / Neural Networks bisacsh Neurale netwerken gtt Neural networks (Computer science) fast Self-organizing maps fast Neural networks (Computer science) Self-organizing maps Selbst organisierendes System (DE-588)4054424-2 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4054424-2 (DE-588)4226127-2 (DE-588)4143413-4 |
| title | Kohonen maps |
| title_auth | Kohonen maps |
| title_exact_search | Kohonen maps |
| title_full | Kohonen maps edited by Erkki Oja and Samuel Kaski |
| title_fullStr | Kohonen maps edited by Erkki Oja and Samuel Kaski |
| title_full_unstemmed | Kohonen maps edited by Erkki Oja and Samuel Kaski |
| title_short | Kohonen maps |
| title_sort | kohonen maps |
| topic | Réseaux neuronaux (Informatique) Cartes auto-organisatrices COMPUTERS / Neural Networks bisacsh Neurale netwerken gtt Neural networks (Computer science) fast Self-organizing maps fast Neural networks (Computer science) Self-organizing maps Selbst organisierendes System (DE-588)4054424-2 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Réseaux neuronaux (Informatique) Cartes auto-organisatrices COMPUTERS / Neural Networks Neurale netwerken Neural networks (Computer science) Self-organizing maps Selbst organisierendes System Neuronales Netz Aufsatzsammlung |
| url | http://www.sciencedirect.com/science/book/9780444502704 |
| work_keys_str_mv | AT ojaerkki kohonenmaps AT kaskisamuel kohonenmaps |