415 search results - page 22 / 83 » Generating Predicate Rules from Neural Networks |
EAAI
2006
13 years 7 months ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
ICONIP
1998
13 years 9 months ago
1998
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
IEEEIAS
2008
IEEE
14 years 2 months ago
2008
IEEE
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
ICANN
2003
Springer
14 years 26 days ago
2003
Springer
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
NPL
2006
13 years 7 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...