Curve Fitting and Forecasting of Outpatient Amount Based on Seasonal Neural Network
Mingquan Ye · Journal of Engineering Graphics · 2005
The hospital outpatient amount is a seasonal time series with the character of complex nonlinear combination. The forecasting results based traditional forecast model with seasonal adjustment are not satisfied. This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount. The paper discusses the designing ideas and realizing algorithms of the model. The simulation samples show that the precision of the curre fitting nonlinearity and prediction of this model is better than that of ARIMA seasonal product model. The model can reflect the dynamic characteristic of system and the seasonal time series connected characteristic of outpatient amount. Thus, a new way is obtained to predict the seasonal time series.