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Complexity of Gaussian-Radial-Basis Networks Approximating Smooth Functions
Estimates in terms of smoothness are derived for approximation rates by Gaussian radial-basis networks.
IN - Informatika
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Testing Error Estimates for Regularization and Radial Function Networks
Radial basis function networks (RBF) can be seen as a special case of regularization networks with a selection of learning algorithms. We study a relationship between RN and RBF, and experimentally evaluat...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Monotonicity conditions for radial basis function networks
The paper presents a way how to impose monotonicity requirement on radial basis function networks. Monotonicity conditions are expressed as linear constraints on the network weights that enables efficient ...
Automation and control systems
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Artificial Neural Network with Radial Basis Function in Model Predictive Control of Chemical Reactor
This paper describes the application of artificial neural network with radial basis function as a predictor in model predictive control. Radial basis function neural networks are...
JP - Průmyslové procesy a zpracování
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Artificial Neural Network with Radial Basis Function in Model Predictive Control
This paper deals with application of artificial neural network with radial basis function as a predictor in model predictive control. Radial basis function neural networks are kn...
JB - Senzory, čidla, měření a regulace
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Rotor Time Constant Adaptation Using Radial Basis Function Network
of artificial neural network (ANN) with radial basis function. The main objective was to find and design some alternative neural network within the electric drive control is created with the support of a ...
JA - Elektronika a optoelektronika, elektrotechnika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Supervised Learning Errors by Radial Basis Function Neural Networks and Regularization Networks
There is a gap between the theoretical results of regularization theory and practical suitability of regularization derived networks (RN). On the other hand, radial basis function networks (RBF) that can b...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Design of Radial Basis Function Network for Compression Pressures Approximation
The article considers the radial basis function network design for CI engine compression pressures estimation based on the course of crankshaft angular velocity......
JR - Ostatní strojírenství
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Analysis of Algorithms for Radial Basis Function Neural Network
The contribution describes the analysis of algorithms for the hidden layer construction of network and for learning of the Radial Basis Function neural network (RBFN). We compared results obtained by a usi...
JD - Využití počítačů, robotika a její aplikace
- 2007 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Evolutionary Trained Radial Basis Function Networks for Robot Control
In this paper, the radial basis function neural network is used as the control mechanism of the robot. Evolutionary algorithm is used to train the agent to perform several tasks. A comparison to multilayer perceptr...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
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