Forecasting Regional Employment in Germany by Means of Neural Networks and Genetic Algorithms (original) (raw)
2005, Computational Economics
The aim of this paper is to develop and apply Neural Network (NN) models in order to forecast regional employment patterns in Germany. NNs are statistical tools based on learning algorithms with a distribution over a large amount of quantitative data. NNs are increasingly deployed in the social sciences as a useful technique for interpolating data when a clear specification of the functional relationship between dependent and independent variables is not available.
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