498 search results - page 11 / 100 » Training Neural Networks with GA Hybrid Algorithms |
NIPS
2003
13 years 8 months ago
2003
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
NC
2002
13 years 7 months ago
2002
In this paper, Parallel Evolutionary Algorithms for integer weight neural network training are presented. To this end, each processor is assigned a subpopulation of potential solut...
IAJIT
2010
13 years 6 months ago
2010
: In this paper we present a new method for voice disorders classification based on multilayer neural network. The processing algorithm is based on a hybrid technique which uses th...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...