641 search results - page 17 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
GECCO
2005
Springer
15 years 3 months 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 ...
ICANN
2009
Springer
15 years 2 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...
AINA
2010
IEEE
14 years 6 months ago
2010
IEEE
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
86
Voted
IJCNN
2007
IEEE
15 years 4 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...
NIME
2004
Springer
15 years 3 months ago
2004
Springer
In this paper, we describe an adaptive approach to gesture for musical applications. Neural Network abstractions and interfaces are implemented in the Pure Data environment which ...