28 search results - page 1 / 6 » The effect of weight fault on associative networks |
NCA
2011
IEEE
12 years 11 months ago
2011
IEEE
In the past three decades, the properties of associative networks has been extensively investigated. However, most existing results focus on the fault-free networks only. In implem...
ICONIP
2007
13 years 5 months ago
2007
Abstract. In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software ...
JCP
2008
13 years 4 months ago
2008
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
ICONIP
2008
13 years 5 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...
TNN
2010
12 years 11 months ago
2010
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...