1205 search results - page 49 / 241 » Quantization for distributed estimation using neural network... |
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...
TNN
2008
14 years 9 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
IJCINI
2008
14 years 9 months ago
2008
An artificial neural network was trained to classify musical chords into four categories--major, dominant seventh, minor, or diminished seventh--independent of musical key. After ...
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TSP
2010
14 years 4 months ago
2010
Abstract--Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does no...
SENSYS
2003
ACM
15 years 3 months ago
2003
ACM
We consider dense wireless sensor networks deployed to observe arbitrary random fields. The requirement is to reconstruct an estimate of the random field at a certain collector ...