305 search results - page 8 / 61 » On the Power of Networks of Evolutionary Processors |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
FLAIRS
2004
13 years 9 months ago
2004
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
TWC
2008
13 years 7 months ago
2008
Optimal power scheduling for distributed detection in a Gaussian sensor network is addressed for both independent and correlated observations. We assume amplify-and-forward local p...
ASPDAC
2005
ACM
13 years 9 months ago
2005
ACM
Abstract— In this paper, we present several techniques for lowpower design, including a descriptor-based low-power scheduling algorithm, design of dynamic voltage generator, and ...