265 search results - page 19 / 53 » On the Computational Power of Neural Nets |
119
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ICC
2007
IEEE
14 years 12 months ago
2007
IEEE
Abstract— A clear deficiency in most of todays Anomaly Intrusion Detection Systems (AIDS) is their inability to distinguish between a new form of legitimate normal behavior and ...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
EOR
2006
14 years 11 months ago
2006
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
103
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IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— Neuronal morphology plays a crucial role in the information processing capabilities of neurons. Despite the importance of morphology for neural functionality, biological data i...
IWANN
2001
Springer
15 years 4 months ago
2001
Springer
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....