Hybrid Approach for Forecasting Stock Exchange Index Combining Statistical Methods and Artificial Neural Network-Reference-Cited by-同舟云学术

Hybrid Approach for Forecasting Stock Exchange Index Combining Statistical Methods and Artificial Neural Network

Published:2021-07 Issue:3 Volume:30 Page:194-205
ISSN:1060-992X
Container-title:Optical Memory and Neural Networks
language:en
Short-container-title:Opt. Mem. Neural Networks

Author:

Azad Bavand Bayat,Pourrafiee Mahdi,Amiri Maghsoud,Azizi S. Pourmohammad

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.3103/S1060992X21030073.pdf

Reference23 articles.

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2. Atashpaz-Gargari, E. and Lucas, C., Imperialist competitive algorithm: an algorithm foroptimization inspired by imperialistic competition, in 2007 IEEE Congress on Evolutionarycomputation, IEEE, 2007, pp. 4661–4667.

3. Baltagi, B., Forecasting with panel data, 8th Bundesbank Spring Conference on “New Developments in Economic Forecasting”, 2006.

4. Baltagi, B., Econometric Analysis of Panel Data, Wiley, 2008.

5. Berneti, S.M. and Shahbazian, M., An imperialist competitive algorithm artificial neural network method to predict oil flow rate of the wells, Int. J. Comput. Appl., 2011, vol. 26, no. 10, pp. 47–50.

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