Neural networks and their use in analysis of economic data based on the example of electric energy sales forecast
Okładka tom 7
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Keywords

neural networks
economic forecast
economic process modeling
electric power

How to Cite

MorajdaJ. (2005). Neural networks and their use in analysis of economic data based on the example of electric energy sales forecast. The Malopolska School of Economics in Tarnow Research Papers Collection, (7), 87-100. https://doi.org/10.25944/znmwse.2005.07.87100

Abstract

The paper shows neural networks being an important tool used for analysis of economic data. A historic outline has been presented along with modem ways of investigation referring to these types of tools. General characteristics and classification of neural networks have been outlined too, with particular attention paid to perceptron-based networks. The most important applications of neural methods in business and economy have been described here. An example of an efficient use of the perceptron-based network in the process of a short term forecasting in the sales of electric energy performed by local power stations has been presented as well.

 

https://doi.org/10.25944/znmwse.2005.07.87100
PDF (Język Polski)

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© Copyright by Małopolska School of Economics in Tarnów. The articles are available under the Creative Commons Attribution NonCommercial-NoDerivatives 4.0 International License

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