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JNCA
2007
136views more  JNCA 2007»
13 years 8 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
TNN
1998
146views more  TNN 1998»
13 years 8 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
DSS
2006
118views more  DSS 2006»
13 years 8 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...
ADHOCNETS
2009
Springer
14 years 3 months ago
Building Intrusion Detection with a Wireless Sensor Network
Abstract. This paper addresses the detection and reporting of abnormal building access with a wireless sensor network. A common office room, offering space for two working persons...
Markus Wälchli, Torsten Braun
EVOW
2009
Springer
14 years 14 days ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun