498 search results - page 12 / 100 » Training Neural Networks with GA Hybrid Algorithms |
ICSNC
2007
IEEE
14 years 1 months ago
2007
IEEE
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
ICANN
2009
Springer
14 years 10 hour ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
ASC
2004
13 years 7 months ago
2004
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...