5Wang J S, Jiang Z Y, Tieu A K, et al. Adaptive calculation of deformation resistance model of online process control in tandem cold mill [ J ]. Journal of Materials Processing Technology, 2005,162/163:585 - 590.
6Lee D M, Lee Y S. Application of neural-network for improving accuracy of roll-force model in hot-rolling mill[J]. Control Engineering Practice, 2002,10(4) :473 - 478.
7Lee D M, Choi S G. Application of on-line adaptable neural network for the rolling force set-up of a plate mill [ J ]. Engineering Applications of Artificial Intelligence, 2004,17 (5) :557 - 565.
8Larkiola J, Myllykoski P, Nylander J, et al. Prediction of rolling force in cold rolling by using physical models and neural computing[J]. Journal of Materials Processing Technology, 1996,60(1/2/3/4) :381-386.
9Son J S, Lee D M, Kim I S, et al. A study on on-line learning neural network for prediction for rolling force in hotrolling mill[ J ]. Journal of Materials Processing Technology, 2005,164/165 : 1612 - 1617.
10Billah B, King M L, Snyder R D. Exponential smoothing model selection for forecasting[J ]. International Journal of Forecasting, 2006,22(2) :239 - 247.