Peak ground acceleration prediction by artificial neural networks for Northwestern Turkey.
Günaydın, Kemal, Günaydın, Ayten (2008)
Mathematical Problems in Engineering
Similarity:
Günaydın, Kemal, Günaydın, Ayten (2008)
Mathematical Problems in Engineering
Similarity:
Izabela Rojek (2010)
Control and Cybernetics
Similarity:
Jiří Beneš (1990)
Kybernetika
Similarity:
Maciej Huk (2012)
International Journal of Applied Mathematics and Computer Science
Similarity:
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
Similarity:
D. Zhang, Q. Jiang, X. Li (2005)
Mathware and Soft Computing
Similarity:
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...
Cheolhwan Oh, Stanisław Żak (2005)
International Journal of Applied Mathematics and Computer Science
Similarity:
An image recall system using a large scale associative memory employing the generalized Brain-State-in-a-Box (gBSB) neural network model is proposed. The gBSB neural network can store binary vectors as stable equilibrium points. This property is used to store images in the gBSB memory. When a noisy image is presented as an input to the gBSB network, the gBSB net processes it to filter out the noise. The overlapping decomposition method is utilized to efficiently process images using...