Particle Swarm Optimization Based on Back Propagation Network Forecasting Exchange Rates

@inproceedings{Chang2011ParticleSO,
  title={Particle Swarm Optimization Based on Back Propagation Network Forecasting Exchange Rates},
  author={Jui-Fang Chang and Pei-Yu Hsieh},
  year={2011}
}
This research constructs a new forecasting model. Particle Swarm Optimization (PSO) is utilized to select the optimal input layer neurons, and then predict exchange rates by the Back Propagation Network (BPN), which called PSOBPN model. The model is applied to forecast exchange rate NTD/USD. We hope to improve traditional neural network that utilized the… CONTINUE READING