950 search results - page 6 / 190 » Training a Quantum Neural Network |
ICARCV
2008
IEEE
14 years 2 months ago
2008
IEEE
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
IJON
2008
13 years 7 months ago
2008
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
WSC
2004
13 years 9 months ago
2004
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
IJON
2006
13 years 7 months ago
2006
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
IJCNN
2000
IEEE
14 years 10 hour ago
2000
IEEE
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...