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» Sensor Errors Prediction Using Neural Networks
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ESANN
2001
14 years 11 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...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 2 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
WSC
2007
15 years 2 days ago
Stability analysis of the supply chain by using neural networks and genetic algorithms
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynamics of the supply chain environment at an early stage. This paper proposes a me...
Alfonso Sarmiento, Luis Rabelo, Ramamoorthy Lakkoj...
ISNN
2005
Springer
15 years 3 months ago
Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
Liefeng Bo, Ling Wang, Licheng Jiao
BROADNETS
2006
IEEE
15 years 3 months ago
Snapshot: A Self-Calibration Protocol for Camera Sensor Networks
— A camera sensor network is a wireless network of cameras that are designed for ad-hoc deployment. The camera sensors in such a network need to be properly calibrated by determi...
Xiaotao Liu, Purushottam Kulkarni, Prashant J. She...