Neural Network Analyses of the Romanian People working in Foreign Country’s


  • EmÅ‘ke Katalin Péter Faculty of Economics “Sapientia” University, Miercurea-Ciuc,
  • László Illyés Faculty of Economics “Sapientia” University, Miercurea-Ciuc,


Millions of people went from Romania to make a fortune in foreign countries and a few of them came back and make their life easier at home. There are some preconditions for each of them and there have some expectations of the outcome of the time spent. Because these factors are not related in a straight way, the analysis of the problem needs knowledge discovery. We choose artificial neural networks to recognize some patterns related to this problem. In neural network analyses, sometimes the results are good, but we cannot transform it in adequate conclusions. These results are fitted to predict the outcomes of new data. Neural networks mimic the functions of the human brain. In comparison with the fuzzy sets, the artificial neural network is the hardware, and the fuzzy set model is the software approach of, sometimes, the same problem. We have a brunch of problem, for that the neural network model cannot be substituted by the fuzzy model, although the results of the fuzzy approach are most human-readable. Our problem is maybe closer to the fuzzy system, but this time we want to verify the neural network approach. We use this analysis to discover patterns between the inputs of a human that goes outboard to work in foreign country for a period of time and the outputs of the work, like material realization, education and professional profit.


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