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Visual Explorations in Finance

Kohonen, Teuvo / Deboeck, Guido
Visual Explorations in Finance
Edited by Guido Deboeck, a leading exponent in the use of computation intelligence methods in finance and economic forecasting, and the originator of SOM, Teuvo Kohonen. An 8-page color section makes this book unique, colorful and exciting to read. Each chapter contains exercises and solutions, perfectly suited to aid self-study.

CHF 69.00

Content-Addressable Memories

Kohonen, Teuvo
Content-Addressable Memories
Due to continual progress in the large-scale integration of semiconductor circuits, parallel computing principles can already be met in low-cost sys­ tems: numerous examples exist in image processing, for which special hard­ ware is implementable with quite modest resources even by nonprofessional designers. Principles of content addressing, if thoroughly understood, can thereby be applied effectively using standard components. On the other ha...

CHF 69.00

Self-Organization and Associative Memory

Kohonen, Teuvo
Self-Organization and Associative Memory
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Information Sciences (IS 8), the book actually stems from Vol. 17 of the series Communication and Cybernetics (CC 17), entitled Associative Memory - A System-Theoretical Approach, which appeared in 1977. That book was the first monograph on distributed associative memories, or "content-addressable memories" as they are frequently called, especially...

CHF 69.00

Visual Explorations in Finance

Kohonen, Teuvo / Deboeck, Guido
Visual Explorations in Finance
Edited by Guido Deboeck, a leading exponent in the use of computation intelligence methods in finance and economic forecasting, and the originator of SOM, Teuvo Kohonen. An 8-page color section makes this book unique, colorful and exciting to read. Each chapter contains exercises and solutions, perfectly suited to aid self-study.

CHF 69.00

Self-Organizing Maps

Kohonen, Teuvo
Self-Organizing Maps
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 problems. Many fields of science have adopted the SOM as a standard analytical tool: in statistics, signal processing, control theory, financial analy...

CHF 236.00