A mutual association based nonlinear ensemble mechanism for time series forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-014-0641-y.pdf
Reference42 articles.
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3. Adhikari R, Agrawal RK (2014) A combination of artificial neural network and random walk models for financial time series forecasting. Neural Comput and Applic 24(6):1441–1449
4. Aiolfi M, Timmermann A (2006) Persistence in forecasting performance and conditional combination strategies. J Econom 135(1):31–53
5. Aksu C, Gunter SI (1992) An empirical analysis of the accuracy of sa, ols, erls and nrls combination forecasts. Int J Forecast 8(1):27–43
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