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» The Emergent neural modeling system
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CIDM
2007
IEEE
15 years 4 months ago
Application of Neural Networks for Data Modeling of Power Systems with Time Varying Nonlinear Loads
— Nowadays power distribution systems typically operate with nonsinusoidal voltages and currents. Harmonic currents from nonlinear loads propagate through the system and cause ha...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....
JCNS
2006
94views more  JCNS 2006»
14 years 9 months ago
On the application of "equation-free modelling" to neural systems
"Equation-free modelling" is a recently-developed technique for bridging the gap between detailed, microscopic descriptions of systems and macroscopic descriptions of the...
Carlo R. Laing
VISUALIZATION
2005
IEEE
15 years 3 months ago
Opening the Black Box - Data Driven Visualization of Neural Network
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Fan-Yin Tzeng, Kwan-Liu Ma
EDM
2010
160views Data Mining» more  EDM 2010»
14 years 11 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
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IPPS
2006
IEEE
15 years 3 months ago
Online strategies for high-performance power-aware thread execution on emerging multiprocessors
Granularity control is an effective means for trading power consumption with performance on dense shared memory multiprocessors, such as multi-SMT and multi-CMP systems. In this p...
Matthew Curtis-Maury, James Dzierwa, Christos D. A...