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Model Complexity of Neural Networks in High-Dimensional Approximation
which can be approximated by neural networks with a polynomial dependence of model complexity on the input dimension. The results are illustrated by examples of Gaussian radial networks.The role of dimens...
IN - Informatika
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Model Complexity of Neural Networks - a Seeming Paradox
The paper investigates limitations of one-hidden-layer artificial neural networks for solving high-dimensional tasks.
IN - Informatika
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation
Capabilities of linear and neural-network models are compared from the point of view of requirements on the growth of model complexity with an increasing accuracy of approximation. The bounds are formulate...
IN - Informatika
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Estimates of Model Complexity in Neural-Network Learning
Model complexity in neural-network learning is investigated using tools from nonlinear approximation and integration theory. Estimates of network complexity are obtained from inspection of upper b...
IN - Informatika
- 2009 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks
Surrogate solutions of integral equations by neural networks are investigated theoretically. Upper bounds on speed of convergence of approximate solutions computable by neural networks with increasing model
IN - Informatika
- 2012 •
- D
Rok uplatnění
D - Stať ve sborníku
Analog Clipping Circuit Simulation with Recurrent Neural Networks
the Long Short-Term Memory neural networks. The neural network models presentedThis article focuses on the practical use of recurrent neural networks additional fully connected input lay...
Electrical and electronic engineering
- 2021 •
- Jost •
- Link
Rok uplatnění
Jost - Ostatní články v recenzovaných periodicích
Výsledek na webu
Integral Representations in the Form of Neural Networks with Infinitely Many Units
Model complexity of neural networks is investigated using tools from nonlinear approximation and integration theory. The estimates can be applied to a wide class of functions which can be represented as integrals w...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Surrogate Modelling of Solutions of Integral Equations by Neural Networks
Surrogate modelling of solutions of integral equations by neural networks is investigated theoretically. Estimates of speed of convergence of suboptimal surrogate solutions to solutions described by Fredholm theorem are der...
IN - Informatika
- 2012 •
- D
Rok uplatnění
D - Stať ve sborníku
Comparison of Neural Models of UWB and 60GHz In-car Transmission Channels
frequency. The transmission channel can be modeled by an artificial neural network simulation programs (CST, HFSS, etc.). Two neural network architectures were selected channel. For each neural <...
JA - Elektronika a optoelektronika, elektrotechnika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Modeling of EEG Signal with Homeostatic Neural Network
Artificial neural networks have the ability to model signals and predict values that are complex and for which an explicit representation is not known. Therefore, it is a convenient method for modeling of ...
IN - Informatika
- 2013 •
- D
Rok uplatnění
D - Stať ve sborníku
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