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ADCM
2007
155views more  ADCM 2007»
13 years 10 months ago
Numerical differentiation by radial basis functions approximation
Based on radial basis functions approximation, we develop in this paper a new computational algorithm for numerical diļ¬€erentiation. Under an a priori and an a posteriori choice r...
T. Wei, Y. C. Hon
ICIC
2005
Springer
14 years 3 months ago
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes
Abstract. An orthogonal forward selection (OFS) algorithm based on the leaveone-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tu...
Sheng Chen, Xia Hong, Chris J. Harris
IJON
2006
103views more  IJON 2006»
13 years 9 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
SIAMSC
2008
191views more  SIAMSC 2008»
13 years 9 months ago
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...
ADCM
2005
163views more  ADCM 2005»
13 years 9 months ago
Matrix-valued radial basis functions: stability estimates and applications
Radial basis functions (RBFs) have found important applications in areas such as signal processing, medical imaging, and neural networks since the early 1980's. Several appli...
Svenja Lowitzsch