93 search results - page 1 / 19 » Evolving neural networks in compressed weight space |
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...