874 search results - page 12 / 175 » Using Feature Weights to Improve Performance of Neural Netwo... |
206
Voted
JMLR
2006
15 years 3 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
148
Voted
CNSR
2004
IEEE
15 years 7 months ago
2004
IEEE
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
99
Voted
CEC
2005
IEEE
15 years 9 months ago
2005
IEEE
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
162
Voted
MLDM
2007
Springer
15 years 9 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
142
Voted
IEAAIE
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...