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» Function Approximation Using Robust Wavelet Neural Networks
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IJCNN
2000
IEEE
13 years 12 months ago
Taxonomy of Neural Transfer Functions
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
Wlodzislaw Duch, Norbert Jankowski
IJCNN
2000
IEEE
13 years 12 months ago
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
: A system for learning the pre-grasp positioning task for a robot manipulator is presented. The images delivered from a gripper mounted camera are analysed using Gabor filters wh...
Jörg A. Walter, Bert Arnrich, Christian Schee...
ICIP
2003
IEEE
14 years 9 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
AINA
2010
IEEE
13 years 6 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski
TNN
2008
181views more  TNN 2008»
13 years 7 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu