869 search results - page 18 / 174 » An Effective Learning Method for Max-Min Neural Networks |
ICONIP
2008
13 years 10 months ago
2008
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
ISNN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...