PSO based Neural Networks vs. traditional statistical models for seasonal time series forecasting
PSO based Neural Networks vs. traditional statistical models for seasonal time series forecasting
Seasonality is a distinctive characteristic which is often observed in many practical time series. Artificial Neural Networks (ANNs) are a class of promising models for efficiently recognizing and forecasting seasonal patterns. In this paper, the Particle Swarm Optimization (PSO) approach is used to enhance the forecasting strengths of feedforward ANN …