695 search results - page 19 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
CNSR
2004
IEEE
13 years 11 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...
CCIA
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
ESANN
2008
13 years 9 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
ESANN
2007
13 years 9 months ago
2007
Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...