641 search results - page 5 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
MCS
2006
Springer
13 years 7 months ago
2006
Springer
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
DATE
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
APBC
2004
13 years 8 months ago
2004
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...