93 search results - page 6 / 19 » Evolving neural networks in compressed weight space |
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
FPL
1994
Springer
15 years 1 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...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
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NN
2000
Springer
14 years 9 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
GLVLSI
1998
IEEE
15 years 1 months ago
1998
IEEE
In this research, we devised a new simple technique for statically holding analog weights, which does not require periodic refreshing. It further contains a mechanism to locally u...