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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 8 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
IJCNN
2006
IEEE
14 years 1 months ago
Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads
—This paper investigates the application of a new kind of recurrent neural network called Echo State Networks (ESNs) for the problem of measuring the actual amount of harmonic cu...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....
IJCAI
1997
13 years 9 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn
CORR
2010
Springer
176views Education» more  CORR 2010»
13 years 7 months ago
Network Traffic Anomalies Detection and Identification with Flow Monitoring
Network management and security is currently one of the most vibrant research areas, among which, research on detecting and identifying anomalies has attracted a lot of interest. R...
Huy Anh Nguyen, Tam Van Nguyen, Dong Il Kim, Deokj...
INFOCOM
2012
IEEE
11 years 10 months ago
On exploiting flow allocation with rate adaptation for green networking
Abstract—Network power consumption can be reduced considerably by adapting link data rates to their offered traffic loads. In this paper, we exploit how to leverage rate adaptat...
Jian Tang, Brendan Mumey, Yun Xing, Andy Johnson