370 search results - page 29 / 74 » TRUST-TECH Based Neural Network Training |
KES
1998
Springer
14 years 1 months ago
1998
Springer
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
IWCMC
2010
ACM
13 years 11 months ago
2010
ACM
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
INFORMATICALT
2007
13 years 9 months ago
2007
The objective of this research is to construct parallel models that simulate the behavior of artificial neural networks. The type of network that is simulated in this project is t...
ECAI
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
CCE
2006
13 years 9 months ago
2006
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...