An empirical analysis of neural network memory structures for basin water quality forecasting
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References listed on IDEAS
- Armstrong, J. Scott, 2007. "Significance Tests Harm Progress in Forecasting," MPRA Paper 81664, University Library of Munich, Germany.
- repec:eee:ecomod:v:205:y:2007:i:3:p:355-364 is not listed on IDEAS
- Tashman, Leonard J., 2000. "Out-of-sample tests of forecasting accuracy: an analysis and review," International Journal of Forecasting, Elsevier, vol. 16(4), pages 437-450.
- Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
- Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
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- Lolli, F. & Gamberini, R. & Regattieri, A. & Balugani, E. & Gatos, T. & Gucci, S., 2017. "Single-hidden layer neural networks for forecasting intermittent demand," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 116-128.
- repec:spr:waterr:v:31:y:2017:i:15:d:10.1007_s11269-017-1785-4 is not listed on IDEAS
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KeywordsWatershed management Short-term memory Jordan-Elman neural network Gamma memory neural network;
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