370 search results - page 50 / 74 » TRUST-TECH Based Neural Network Training |
ICTAI
2008
IEEE
14 years 3 months ago
2008
IEEE
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...
JIRS
2008
13 years 9 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
FOCI
2007
IEEE
14 years 3 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...