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» Functional radial basis function networks
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ESANN
2001
13 years 9 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
14 years 1 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
ISNN
2004
Springer
14 years 1 months ago
Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction
Abstract. Inter-residue contacts map prediction is one of the most important intermediate steps to the protein folding problem. In this paper, we focus on protein inter-residue con...
Guang-Zheng Zhang, De-Shuang Huang, Xin Huang
ADCM
2011
13 years 2 months ago
The missing Wendland functions
Abstract: The Wendland radial basis functions [8, 9] are piecewise polynomial compactly supported reproducing kernels in Hilbert spaces which are norm–equivalent to Sobolev space...
Robert Schaback
DATE
2003
IEEE
101views Hardware» more  DATE 2003»
14 years 1 months ago
Combined FDTD/Macromodel Simulation of Interconnected Digital Devices
Behavioral models of digital devices based on Radial Basis Functions (RBF) are incorporated into a Finite-Difference Time-Domain (FDTD) solver for full-wave analysis of interconne...
Stefano Grivet-Talocia, Igor S. Stievano, Ivan A. ...