Titlebook: Visual Explorations in Finance; with Self-Organizing Guido Deboeck (Multimedia Producer, Consultant),Te Book 1998 Springer-Verlag Berlin He

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A Hybrid Neural Network System for Trading Financial Marketshe shows the forecasting capabilities of this hybrid system and evidence of the performance of this system. This chapter is a nice extension of the applications of trading systems presented in “Trading on the Edge”. The novelty here is that genetic algorithms and self-organizing maps are combined.

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Software Tools for Self-Organizing Mapssophisticated. This chapter contains a brief overview of several public domain software tools as well as a list of commercially available neural network tools that contain a self-organizing map capability.

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Book 1998authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen‘s self-organizing map approach.

Mechanics

1616-0533 riginator of SOM, Teuvo Kohonen..Their intention is to shareSelf-organizing maps (SOM) have proven to be of significant economic value in the areas of finance, economic and marketing applications. As a result, this area is rapidly becoming a non-academic technology. This book looks at near state-of-

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MOTIF

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Let Financial Data Speak for Themselvesmaps (SOM) using financial data: (i) analysis of financial statements and information for the formulation of corporate strategy; (ii) visual diagnosis of the financial situation of companies; (iii) establishment of bond ratings; (iv) analysis of the economic convergence of European countries using m

Stable-Angina

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Picking Mutual Funds with Self-Organizing Mapsgnificant improvement over the information that is traditionally published on mutual funds. They create a better basis for portfolio selection, for comparison of the performance of mutual funds and for the creation of benchmarks.. Using data published by Morningstar, we use self-organizing maps to d

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