Peak ground acceleration prediction by artificial neural networks for Northwestern Turkey.
Günaydın, Kemal, Günaydın, Ayten (2008)
Mathematical Problems in Engineering
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Displaying similar documents to “Modeling of the temperature distribution of a greenhouse using finite element differential neural networks”
Peak ground acceleration prediction by artificial neural networks for Northwestern Turkey.
On the Application of Artificial Neural Network in Analyzing and Studying Daily Loads of Jordan Power System Plant
Salam A. Najim, Zakaria A. M. Al-Omari, Samir M. Said (2008)
Computer Science and Information Systems
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Neural networks as performance improvement models in intelligent CAPP systems
Izabela Rojek (2010)
Control and Cybernetics
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On neural networks
Jiří Beneš (1990)
Kybernetika
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Neural networks using Bayesian training
Gabriela Andrejková, Miroslav Levický (2003)
Kybernetika
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Bayesian probability theory provides a framework for data modeling. In this framework it is possible to find models that are well-matched to the data, and to use these models to make nearly optimal predictions. In connection to neural networks and especially to neural network learning, the theory is interpreted as an inference of the most probable parameters for the model and the given training data. This article describes an application of Neural Networks using the Bayesian training...
A heuristic forecasting model for stock decision making.
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...
Modelling of the automatic depth control electrohydraulic system using RBF neural network and genetic algorithm.
Zong-Yi, Xing, Yong, Qin, Xue-Miao, Pang, Li-Min, Jia, Yuan, Zhang (2010)
Mathematical Problems in Engineering
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Application of Neural Networks to Modal Split Modelling
Jadranka Jović (1997)
The Yugoslav Journal of Operations Research
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Backpropagation generalized delta rule for the selective attention Sigma-if artificial neural network
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...