An Unemployment Prediction Rate for Indian Youth Through Time Series Forecasting
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4893-6_29
Reference17 articles.
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2. Mishra N, Soni HK, Sharma S, Upadhyay AK (2018) Development and analysis of artificial neural network models for rainfall prediction by using time-series data. Int. J. Intell. Syst. Appl. 10:16–23. https://doi.org/10.5815/ijisa.2018.01.03
3. FRED, F.R.B. of S.L.: Youth Unemployment Rate for India, https://fred.stlouisfed.org/series/SLUEM1524ZSIND
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5. S. McDonald, S. Coleman, T.M. McGinnity, Y. Li, A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets, in Proceedings of The 2013 International Joint Conference on Neural Networks (IJCNN) (2013). https://doi.org/10.1109/IJCNN.2013.6706965
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