202 search results - page 16 / 41 » Learning fault-tolerance in Radial Basis Function Networks |
IWANN
2001
Springer
13 years 11 months ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
SBRN
2000
IEEE
13 years 11 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
IWDC
2005
Springer
14 years 26 days ago
2005
Springer
Peer-to-peer systems and applications are distributed systems without any centralized control. P2P systems form the basis of several applications, such as file sharing systems and ...
AUSAI
2004
Springer
14 years 23 days ago
2004
Springer
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...