101 search results - page 5 / 21 » Automatic generation of a neural network architecture using ... |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
FPL
1994
Springer
13 years 11 months ago
1994
Springer
The implementation of larger digital neural networks has not been possible due to the real-estate requirements of single neurons. We present an expandable digital architecture whic...
DAC
2001
ACM
14 years 8 months ago
2001
ACM
We present a design flow for the generation of application-specific multiprocessor architectures. In the flow, architectural parameters are first extracted from a high-level syste...