152 search results - page 3 / 31 » Training neural networks with noisy data as an ill-posed pro... |
NIPS
2003
13 years 8 months ago
2003
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
NN
2002
Springer
13 years 7 months ago
2002
Springer
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
IJON
2007
13 years 7 months ago
2007
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...