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...
— 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 ...
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...
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...
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. ...