909 search results - page 88 / 182 » Introduction to artificial neural networks |
AES
2008
Springer
13 years 8 months ago
2008
Springer
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
FLAIRS
2004
13 years 9 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...
GECCO
2010
Springer
14 years 25 days ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
INFORMATICALT
2000
13 years 7 months ago
2000
In this paper, the hexagonal approach was proposed for modeling the functioning of cerebral cortex, especially, the processes of learning and recognition of visual information. Thi...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...