139 search results - page 2 / 28 » Numerical differentiation by radial basis functions approxim... |
ADCM
2005
13 years 5 months ago
2005
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...
COMPUTING
2006
13 years 5 months ago
2006
We study cubature formulas on relatively small scattered samples in the unit square, obtained by integrating radial basis function (RBF) interpolants. Numerical tests show that, d...
CONCURRENCY
2010
13 years 2 months ago
2010
The faster growth curves in the speed of GPUs relative to CPUs in the past decade and its rapidly gained popularity have spawned a new area of development in computational technol...
SIAMSC
2008
13 years 5 months ago
2008
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
ESANN
2003
13 years 6 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...