139 search results - page 25 / 28 » Multi-step-ahead prediction using dynamic recurrent neural n... |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
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ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
ICCS
2005
Springer
15 years 3 months ago
2005
Springer
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
CORR
2008
Springer
14 years 9 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...
NIPS
2008
14 years 11 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...