Weighted moving averaging revisited: an algebraic approach-Reference-Cited by-同舟云学术

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Weighted moving averaging revisited: an algebraic approach

Published:2016-01-29 Issue:4 Volume:36 Page:1545-1558
ISSN:0101-8205
Container-title:Computational and Applied Mathematics
language:en
Short-container-title:Comp. Appl. Math.

Author:

Landauskas Mantas,Navickas Zenonas,Vainoras Alfonsas,Ragulskis Minvydas

Funder

Lietuvos Mokslo Taryba (LT)

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

http://link.springer.com/article/10.1007/s40314-016-0309-9/fulltext.html

Reference22 articles.

1. Chen KY (2011) Combining linear and nonlinear model in forecasting tourism demand. Exp Syst Appl 38(8):10368–10376

2. Dong-xiao N, Hui-feng S, Desheng DW (2012) Short-term load forecasting using bayesian neural networks learned by hybrid monte carlo algorithm. Appl Soft Comput 12(6):1822–1827

3. Easton JF, Stephens CR, Angelova M (2014) Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: a data mining approach. Comput Biol Med 54:199–210

4. Firmino PRA, de Mattos Neto PS, Ferreira TA (2014) Correcting and combining time series forecasters. Neural Netw 50:1–11

5. Holt CC (2004) Forecasting seasonals and trends by exponentially weighted moving averages. Int J Forecast 20(1):5–10

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