374 search results - page 10 / 75 » Training the random neural network using quasi-Newton method... |
ICANN
2009
Springer
15 years 4 months 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...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
156
Voted
HIS
2001
15 years 1 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
122
Voted
BMCBI
2010
14 years 11 months ago
2010
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...