13 search results - page 1 / 3 » A Method Based on RBF-DDA Neural Networks for Improving Nove... |
FLAIRS
2004
13 years 5 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...
CNSR
2004
IEEE
13 years 8 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...
ISNN
2011
Springer
12 years 7 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
IJACTAICIT
2010
12 years 11 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
IJON
2007
13 years 4 months ago
2007
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...