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» On the Computational Power of Neural Nets
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ATAL
2008
Springer
15 years 1 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
ISMVL
2000
IEEE
105views Hardware» more  ISMVL 2000»
15 years 4 months ago
Computational Neurobiology Meets Semiconductor Engineering
Many believe that the most important result to come out of the last ten years of neural network research is the significant change in perspective in the neuroscience community tow...
Dan W. Hammerstrom
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 23 days ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
SLIP
2004
ACM
15 years 5 months ago
Interconnect-power dissipation in a microprocessor
Interconnect power is dynamic power dissipation due to switching of interconnection capacitances. This paper describes the characterization of interconnect power in a state-of-the...
Nir Magen, Avinoam Kolodny, Uri C. Weiser, Nachum ...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 4 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...