7 search results - page 1 / 2 » Neural Networks for Novelty Detection in Airframe Strain Dat... |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stress...
FLAIRS
2004
13 years 6 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
SGAI
2007
Springer
13 years 11 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
NN
2002
Springer
13 years 4 months ago
2002
Springer
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...