InTech β 2012, 298 pages<br/>ISBN: 9535108627, 9789535108627<div class="bb-sep"></div>This book is about such applications, i.e. how the original self-organizing map as well as variants and extensions of it can be applied in different fields. In fourteen chapters, a wide range of such applications i
Self Organizing Maps - Applications and Novel Algorithm Design
β Scribed by Josphat Igadwa Mwasiagi
- Publisher
- InTech
- Year
- 2011
- Tongue
- English
- Leaves
- 714
- Category
- Library
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β¦ Subjects
ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠ° ΠΈ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΠ΅Ρ Π½ΠΈΠΊΠ°;ΠΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡ;
π SIMILAR VOLUMES
2nd Ed. β ITAvE, 2016. β 298 p. β ISBN: 953510862X.<div class="bb-sep"></div>This issue is about how the original self-organizing map as well as variants and extensions of it can be applied in different fields. A wide range of applications is discussed - the analysis of financial stability, the faul
Advisor, World Bank, December 15, 1997 β 32 p.<div class="bb-sep"></div>Applications of neural networks to finance and investments can be found in several books and articles. The great majority of these applications use supervised neural network models for forecasting market trends, creating trading
<B>Self-Organizing Maps </B>deals with the most popular artificial neural-network algorithm of the unsupervised-learning category, viz. the Self-Organizing Map (SOM). As this book is the main monograph on the subject, it discusses all the relevant aspects ranging from the history, motivation, fundam
<p>The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real-world