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Keywords : linear discriminant function, neural networks
The aim of the research was to determinate a linear discriminant function and neural network that could be applied for classifi cation of farms. The result of classifi cation was forecasting fi nancial situation of them, based on set of many variables, which including fi nancial indicators. Models were built separately for each year, but they were verifi ed in the rest. The additional aims were to determine the set of indicators with large forecasting ability, and to compare two classifi cation methods – linear discriminant function and neural network.
How to Cite
Kisielińska, J. (2006). APPLICATION OF DISCRIMINANT ANALYSIS AND NEUTRAL NETWORKS TO FORECASTING THE FINANCIAL STANDING OF FARMS WITH CONSIDERATION THE INFLUENCE OF THE TIME. Acta Scientiarum Polonorum. Oeconomia, 5(2), 37–46. Retrieved from https://aspe.sggw.edu.pl/article/view/911
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- Anton Malynovsky, THE STATE AND PROSPECTS FOR VITAL ACTIVITIES IN THE RADIOCONTAMINATED AREAS OF ZHYTOMYR POLISSYA , Acta Scientiarum Polonorum. Oeconomia: Vol. 5 No. 2 (2006)
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