A neural network approach to time series forecasting

摘要: We propose a simple approach for forecasting univariate time series. The proposed algorithm is an ensemble learning technique that combines the advice from several Generalized Regression Neural Networks. We compare our algorithm with the most used algorithms on real and synthetic datasets. The proposed algorithm appears as more powerful than existing ones.