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» Using Neural Nets to Estimate Evolutionary Parameters
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FPGA
2011
ACM
321views FPGA» more  FPGA 2011»
12 years 12 months ago
An analytical model relating FPGA architecture parameters to routability
We present an analytical model relating FPGA architectural parameters to the routability of the FPGA. The inputs to the model include the channel width and connection and switch b...
Joydip Das, Steven J. E. Wilton
NN
1998
Springer
13 years 8 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
ASPDAC
2004
ACM
107views Hardware» more  ASPDAC 2004»
14 years 1 months ago
Interconnect capacitance estimation for FPGAs
Abstract—The dynamic power consumed by a digital CMOS circuit is directly proportional to capacitance. In this paper, we consider pre-routing capacitance estimation for FPGAs and...
Jason Helge Anderson, Farid N. Najm
CEC
2007
IEEE
14 years 2 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 2 days ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing