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Forecasting Regional Employment in Germany by Means of Neural Networks and Genetic Algorithms. (2005). Reggiani, Aura ; Patuelli, Roberto ; Nijkamp, Peter ; Longhi, Simonetta.
In: Computational Economics.
RePEc:wpa:wuwpco:0511002.

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Cited: 4

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Cites: 27

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  1. Forecasting the unemployment rate over districts with the use of distinct methods. (2020). Marcin, Wozniak.
    In: Studies in Nonlinear Dynamics & Econometrics.
    RePEc:bpj:sndecm:v:24:y:2020:i:2:p:20:n:2.

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  2. Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions. (2012). Patuelli, Roberto ; Mayor, Matías ; Mayor-Fernandez, Matias .
    In: Working Paper series.
    RePEc:rim:rimwps:15_12.

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  3. Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions. (2012). Patuelli, Roberto ; Mayor-Fernandez, M..
    In: Working Papers.
    RePEc:bol:bodewp:wp835.

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  4. Neural networks for regional employment forecasts: are the parameters relevant?. (2011). Schanne, Norbert ; Reggiani, Aura ; Patuelli, Roberto ; Nijkamp, Peter.
    In: Journal of Geographical Systems.
    RePEc:kap:jgeosy:v:13:y:2011:i:1:p:67-85.

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References

References cited by this document

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