Sciweavers

2924 search results - page 173 / 585
» On the Use of Evidence in Neural Networks
Sort
View
99
Voted
IJCAI
1997
15 years 3 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
129
Voted
IDEAL
2010
Springer
15 years 11 days ago
Dimension Reduction for Regression with Bottleneck Neural Networks
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
Elina Parviainen
84
Voted
ICIP
2003
IEEE
16 years 3 months ago
Approximation of color characterization MLUTS with artificial neural networks
MLUTs used in color characterization require significant memory for embedded systems. Most tools that create device characterization maps, use MLUTs. For this reason, there is int...
Michael J. Vrhel
ROBOCUP
2005
Springer
112views Robotics» more  ROBOCUP 2005»
15 years 7 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...
ICPPW
2003
IEEE
15 years 7 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta