950 search results - page 3 / 190 » Training a Quantum Neural Network |
IJCNN
2000
IEEE
14 years 4 hour ago
2000
IEEE
The features of neural networks using for increasing of an accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume incr...
CDC
2008
IEEE
14 years 2 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...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
IAJIT
2010
13 years 6 months ago
2010
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
DATE
2008
IEEE
14 years 2 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 ...