324 search results - page 10 / 65 » A new evolutionary method for time series forecasting |
ICANN
2001
Springer
14 years 4 days 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...
ESWA
2006
13 years 7 months ago
2006
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
AAAI
2008
13 years 10 months ago
2008
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
HICSS
2006
IEEE
14 years 1 months ago
2006
IEEE
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
ADC
2005
Springer
14 years 1 months ago
2005
Springer
Similarity search in time series data is an active area of research in data mining. In this paper we introduce a new approach for performing similarity search over time series dat...