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» Practical Riemannian Neural Networks
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SSPR
2004
Springer
14 years 3 months ago
Bounds for the Average Generalization Error of the Mixture of Experts Neural Network
Abstract. In this paper we derive an upper bound for the average-case generalization error of the mixture of experts modular neural network, based on an average-case generalization...
Luís A. Alexandre, Aurélio C. Campil...
PRIS
2004
13 years 11 months ago
Neural Network Learning: Testing Bounds on Sample Complexity
Several authors have theoretically determined distribution-free bounds on sample complexity. Formulas based on several learning paradigms have been presented. However, little is kn...
Joaquim Marques de Sá, Fernando Sereno, Lu&...
ICONIP
2008
13 years 11 months ago
Neural Network Regression for LHF Process Optimization
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
Miroslaw Kordos
ESWA
2007
100views more  ESWA 2007»
13 years 9 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
ROBOCUP
2005
Springer
112views Robotics» more  ROBOCUP 2005»
14 years 3 months ago
Velocity Control of an Omnidirectional RoboCup Player with Recurrent Neural Networks
In this paper, a recurrent neural network is used to develop a dynamic controller for mobile robots. The advantage of the control approach is that no knowledge about the robot mode...
Mohamed Oubbati, Michael Schanz, Thorsten Buchheim...