Generation of multicriterion strategies decisions using Kohonen neural networks

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Generation of multicriterion strategies decisions using Kohonen neural networks

Radomir Domaradzki1, Janusz Morajda2

1AGH University of Science and Technology.
2Akademia Ekonomiczna w Krakowie.

DOI:

https://doi.org/10.7494/cmms.2005.1.0072

Abstract:

A method of generation of initial grouping of input values vectors, using self-organizing neural network – Kohonen network as an instrument, is described in this work. This main aim of the paper is demonstration of new methodology for grouping data during producing strategies decisions, which can be further applied in the filed of materials engineering. Described approach is illustrated by example, which characterizes share market condition.

Cite as:

Domaradzki, R., Morajda, J. (2005). Generation of multicriterion strategies decisions using Kohonen neural networks. Computer Methods in Materials Science, 5(1-2), 45 – 55. https://doi.org/10.7494/cmms.2005.1.0072

Article (PDF):

Keywords:

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