318 search results - page 59 / 64 » Evolving RBF Neural Networks |
ESWA
2006
13 years 7 months ago
2006
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
NECO
2010
13 years 2 months ago
2010
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
NECO
2007
13 years 7 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
NIPS
2008
13 years 9 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
SBRN
2006
IEEE
14 years 1 months ago
2006
IEEE
This work presents an evolutionary algorithm to reconstruct 3D objects based on images of them. In the proposed evolutionary algorithm, we describe a way to evolve 3D initial mode...