715 search results - page 17 / 143 » Neural Network with Matrix Inputs |
EVOW
2009
Springer
14 years 23 days ago
2009
Springer
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
EUROPAR
2005
Springer
14 years 2 months ago
2005
Springer
— Previous works have shown that neural branch prediction techniques achieve far lower misprediction rate than traditional approaches. We propose a neural predictor based on two ...
PAA
2000
13 years 8 months ago
2000
: The initialisation of a neural network implementation of Sammon's mapping, either randomly or based on the principal components (PCs) of the sample covariance matrix, is exp...
KES
2006
Springer
13 years 8 months ago
2006
Springer
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemen...
IJON
2002
13 years 8 months ago
2002
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...