The invention discloses a method for forecasting a
Mooney viscosity in a rubber mixing process, which comprises the following steps of: establishing an initial off-
line model by using a process parameter and a
Mooney viscosity accumulated in the process production as a data sample, then applying the off-
line model to a practical process line, and acquiring new sample data; if the forecasting error of the model on the new sample exceeds a forecasting error threshold value, judging the sample as a valid sample, and adding the valid sample into the model; performing on-line dynamic update on
model parameters; and when the number of the samples in the model exceeds the preset maximum
sample number, removing the redundant samples in the model so that the number of the samples of the model is controlled within the maximum
sample number. The method continually improves the precision of the model based on the
cutting technology, and can effectively control the complexity of the model at the same time; the model has good convergence effect; and the method reduces the calculation quantity of the conventional model, and can provide accurate on-line real-time forecast for the
Mooney viscosity in the rubber mixing process.