498 search results - page 10 / 100 » Training Neural Networks with GA Hybrid Algorithms |
DATE
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
MCS
2006
Springer
13 years 7 months ago
2006
Springer
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
ICAPR
2001
Springer
13 years 12 months ago
2001
Springer
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
IJON
2006
13 years 7 months ago
2006
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...