Author: Teuvo Kohonen
Edition: 2nd
Publisher: Springer
Binding: Hardcover
ISBN: 3540586008
Category: Programming
List Price: $ 49.50
Price: $ 49.50
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Self-Organizing Maps (Springer Series in Information Sciences)
The Self-Organizing Map (SOM) algorithm was introduced by the author in 1981. Programming books Self-Organizing Maps pdf. Its theory and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it. The most important practical applications are in exploratory data analysis, pattern recognition, speech analysis, robotics, industrial and medical diagnostics, instrumentation, and control, and literally hundreds of other tasks. In this monograph the mathematical preliminaries, background, basic ideas, and implications are expounded in a clear, well-organized form, accessible without prior expert knowledge. Still the contents are handled with theoretical rigor. Download books self-Organizing Maps pdf via mediafire, 4shared, rapidshare.
Price comparison for Advances in Self-Organizing Maps
Price: $199
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.
This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.
This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among
Price: $114.74
Categories: Neural networks (Computer science), Self-organizing maps. Contributors: Teuvo Kohonen - Author. Format: Paperback
Categories: Neural networks (Computer science), Self-organizing maps. Contributors: Teuvo Kohonen - Author. Format: Paperback
Price: $140.47
Categories: Neural networks (Computer science), Self-organizing maps, Neural networks (Computer science. Contributors: Teuvo Kohonen - Author. Format: Paperback
Categories: Neural networks (Computer science), Self-organizing maps, Neural networks (Computer science. Contributors: Teuvo Kohonen - Author. Format: Paperback
Price: $90.49
Advances in Self-Organizing Maps SPRNC 9783642023965 09783642023965
Advances in Self-Organizing Maps SPRNC 9783642023965 09783642023965
Price: $91.76
Proquest, Umi Dissertation Publishing 9781243554352 The Effectiveness of Self-Organizing Maps in Mammographic Image Analysis. Description This dissertation addresses the effectiveness of self-organizing maps (SOMs) in two main areas of image analysis for mammography: (1) segmentation of the breast region, and (2) mammographic density assessment. The principal methodology is founded on characterizing an image with a self-organizing map and interpreting the information in the SOM by partitioning
Proquest, Umi Dissertation Publishing 9781243554352 The Effectiveness of Self-Organizing Maps in Mammographic Image Analysis. Description This dissertation addresses the effectiveness of self-organizing maps (SOMs) in two main areas of image analysis for mammography: (1) segmentation of the breast region, and (2) mammographic density assessment. The principal methodology is founded on characterizing an image with a self-organizing map and interpreting the information in the SOM by partitioning
Download Self-Organizing Maps
Its theory and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it. The most important practical applications are in exploratory data analysis, pattern recognition, speech analysis, robotics, industrial and medical diagnostics, instrumentation, and control, and literally hundreds of other tasks. In this monograph the mathematical preliminaries, background, basic ideas, and implications are expounded in a clear, well-organized form, accessible without prior expert knowledge. Still the contents are handled with theoretical rigor. Download free Self-Organizing Maps (Springer Series in Information Sciences) pdf
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