On neural networks
Jiří Beneš (1990)
Kybernetika
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Displaying similar documents to “Dynamic properties of cellular neural networks.”
On neural networks
Dynamics in binary neural networks with a finite number of patterns. I: General picture of the asynchronous zero temperature dynamics.
Malyshev, V.A., Spieksma, F.M. (1997)
Mathematical Physics Electronic Journal [electronic only]
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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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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 networks as a tool for georadar data processing
Piotr Szymczyk, Sylwia Tomecka-Suchoń, Magdalena Szymczyk (2015)
International Journal of Applied Mathematics and Computer Science
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In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of geologic structure-a sinkhole. The analysis and results show that the classifier can effectively distinguish sinkholes from...
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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Boundedness and stability for discrete-time delayed neural network with complex-valued linear threshold neurons.
Duan, Chengjun, Song, Qiankun (2010)
Discrete Dynamics in Nature and Society
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Almost-periodic solution for BAM neural networks.
Jalab, H.A., Ibrahim, R.W. (2009)
Surveys in Mathematics and its Applications
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Cognition: Differential-geometrical view on neural networks.
Buffalov, S.A. (1999)
Discrete Dynamics in Nature and Society
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Noise Shaping in Neural Populations with Global Delayed Feedback
O. Ávila Åkerberg, M. J. Chacron (2010)
Mathematical Modelling of Natural Phenomena
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The interplay between intrinsic and network dynamics has been the focus of many investigations. Here we use a combination of theoretical and numerical approaches to study the effects of delayed global feedback on the information transmission properties of neural networks. Specifically, we compare networks of neurons that display intrinsic interspike interval correlations (nonrenewal) to networks that do not (renewal). We find that excitatory...
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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Local stability conditions for discrete-time cascade locally recurrent neural networks
Krzysztof Patan (2010)
International Journal of Applied Mathematics and Computer Science
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The paper deals with a specific kind of discrete-time recurrent neural network designed with dynamic neuron models. Dynamics are reproduced within each single neuron, hence the network considered is a locally recurrent globally feedforward. A crucial problem with neural networks of the dynamic type is stability as well as stabilization in learning problems. The paper formulates local stability conditions for the analysed class of neural networks using Lyapunov's first method. Moreover,...