A Hybrid Forecast of Exchange Rate based on Discrete Grey-Markov and   Grey Neural Network Model
  We propose a hybrid forecast model based on discrete grey-fuzzy Markov and grey neural network model and show that our hybrid model can improve much more the performance of forecast than traditional grey-Markov model and neural network models. Our simulation results are shown that our hybrid forecast method with the combinational weight based on optimal grey relation degree method is better than the hybrid model with combinational weight based minimization of error-squared criterion. 
Gol Kim (Center of Natural Science, University of Sciences, Pyongyang,   DPR Korea), Ri Suk Yun (Foreign Economic General Bu...
cs.CE