9780444502704
Kohonen Maps - Erkki Oja, Samuel Kaski
Elsevier Science (1999)
In Collection
#7006

Read It:
Yes
Computers / System Administration / Storage & Retrieval, Neural networks (Computer science), Neural networks (Computer science), Self-organizing Maps, Self-organizing Maps

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.

Product Details
LoC Classification QA76.87 .K655 1999
Dewey 006.32
Format Hardcover
Cover Price 140,00 €
No. of Pages 400
Height x Width 244 x 166 mm