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» Deformable Radial Basis Functions
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GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
13 years 1 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
ICRA
2005
IEEE
109views Robotics» more  ICRA 2005»
14 years 3 months ago
Controlling Swarms of Robots Using Interpolated Implicit Functions
— We address the synthesis of controllers for large groups of robots and sensors, tackling the specific problem of controlling a swarm of robots to generate patterns specified ...
Luiz Chaimowicz, Nathan Michael, Vijay Kumar
ESANN
2006
13 years 11 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
ICTAI
2002
IEEE
14 years 2 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
DATE
2003
IEEE
101views Hardware» more  DATE 2003»
14 years 3 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. ...