New aspects about using neural networks in integrated numerical circuits and systems.
Olteanu, Emil, Joldeş, Remus, Rotar, Corina (2004)
Acta Universitatis Apulensis. Mathematics - Informatics
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Displaying similar documents to “Some problems on combinatorial logical circuits.”
New aspects about using neural networks in integrated numerical circuits and systems.
About the use of neural networks in integrated numerical circuits and systems.
Joldeş, Remus, Ileană, Ioan, Olteanu, Emil (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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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...
On neural networks
Jiří Beneš (1990)
Kybernetika
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Comparison of supervised learning methods for spike time coding in spiking neural networks
Andrzej Kasiński, Filip Ponulak (2006)
International Journal of Applied Mathematics and Computer Science
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In this review we focus our attention on supervised learning methods for spike time coding in Spiking Neural Networks (SNNs). This study is motivated by recent experimental results regarding information coding in biological neural systems, which suggest that precise timing of individual spikes may be essential for efficient computation in the brain. We are concerned with the fundamental question: What paradigms of neural temporal coding can be implemented with the recent learning methods?...
Neural workbench: An object-oriented neural network simulatior.
Margaris, Athanasios, Kotsialos, Efthymios, Styliadis, Athansios, Roumeliotis, Manos (2004)
Acta Universitatis Apulensis. Mathematics - Informatics
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Neurodynamic adaptive control systems
Julio C. Proano, Jan T. Białasiewicz, Edward T. Wall (1993)
Kybernetika
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A new robust training law for dynamic neural networks with external disturbance: an LMI approach.
Ahn, Choon Ki (2010)
Discrete Dynamics in Nature and Society
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Neural network based identification of hysteresis in human meridian systems
Yonghong Tan, Ruili Dong, Hui Chen, Hong He (2012)
International Journal of Applied Mathematics and Computer Science
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Developing a model based digital human meridian system is one of the interesting ways of understanding and improving acupuncture treatment, safety analysis for acupuncture operation, doctor training, or treatment scheme evaluation. In accomplishing this task, how to construct a proper model to describe the behavior of human meridian systems is one of the very important issues. From experiments, it has been found that the hysteresis phenomenon occurs in the relations between stimulation...