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» Adapting RBF Neural Networks to Multi-Instance Learning
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IJON
2007
99views more  IJON 2007»
13 years 7 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpli...
Anna Levina, Udo Ernst, J. Michael Herrmann
ATAL
2008
Springer
13 years 9 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis
IJCNN
2006
IEEE
14 years 1 months ago
Neural Network Control of Spark Ignition Engines with High EGR Levels
— Research has shown substantial reductions in the oxides of nitrogen (NOx) concentrations by using 10% to 25% exhaust gas recirculation (EGR) in spark ignition (SI) engines [1]....
Atmika Singh, Jonathan Blake Vance, Brian C. Kaul,...
AES
2008
Springer
133views Cryptology» more  AES 2008»
13 years 7 months ago
Alternative neural networks to estimate the scour below spillways
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
H. Md. Azamathulla, M. C. Deo, P. B. Deolalikar
AROBOTS
1998
150views more  AROBOTS 1998»
13 years 7 months ago
Self Calibration of the Fixation Movement of a Stereo Camera Head
In this article we show how an active stereo camera head can be made to autonomously learn to fixate objects in space. During fixation, the system performs an initial and a corre...
Mike Pagel, Eric Maël, Christoph von der Mals...