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» Development of Neural Networks for Noise Reduction
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IAJIT
2010
102views more  IAJIT 2010»
13 years 3 months ago
Multilayer neural network-burg combination for acoustical detection of buried objects
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...
Mujahid Al-Azzo, Lubna Badri
IJCNN
2007
IEEE
13 years 11 months ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
ESANN
2001
13 years 6 months ago
Input data reduction for the prediction of financial time series
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
TNN
1998
92views more  TNN 1998»
13 years 5 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
JACIII
2010
135views more  JACIII 2010»
13 years 3 months ago
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
Aymen Chaouachi, Rashad M. Kamel, Ken Nagasaka