Peak ground acceleration prediction by artificial neural networks for Northwestern Turkey.
Günaydın, Kemal, Günaydın, Ayten (2008)
Mathematical Problems in Engineering
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Günaydın, Kemal, Günaydın, Ayten (2008)
Mathematical Problems in Engineering
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Jadranka Jović (1997)
The Yugoslav Journal of Operations Research
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Wang, Dong Q., Zhang, Mengjie (2005)
Journal of Applied Mathematics and Decision Sciences
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Jiří Beneš (1990)
Kybernetika
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D. Zhang, Q. Jiang, X. Li (2005)
Mathware and Soft Computing
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This paper describes a heuristic forecasting model based on neural networks for stock decision-making. Some heuristic strategies are presented for enhancing the learning capability of neural networks and obtaining better trading performance. The China Shanghai Composite Index is used as case study. The forecasting model can forecast the buying and selling signs according to the result of neural network prediction. Results are compared with a benchmark buy-and-hold strategy. The forecasting...
Maciej Huk (2012)
International Journal of Applied Mathematics and Computer Science
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In this paper the Sigma-if artificial neural network model is considered, which is a generalization of an MLP network with sigmoidal neurons. It was found to be a potentially universal tool for automatic creation of distributed classification and selective attention systems. To overcome the high nonlinearity of the aggregation function of Sigma-if neurons, the training process of the Sigma-if network combines an error backpropagation algorithm with the self-consistency paradigm widely...
Salam A. Najim, Zakaria A. M. Al-Omari, Samir M. Said (2008)
Computer Science and Information Systems
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Izabela Rojek (2010)
Control and Cybernetics
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