Seasonal Time Series Analysis Based on Genetic Algorithm
Shuying Liu · 东华大学学报：英文版 · 2007
Pattern discovery from the seasonal time-series is of importance. Traditionally, most of the algorithms of pattern discovery in time series are similar. A novel mode of time series is proposed which integrates the Genetic Algorithm (GA) for the actual problem. The experiments on the electric power yield sequence models show that this algorithm is practicable and effective.