A multi-model data fusion algorithm which fits the modeling of wood drying schedule is proposed

and data fusion model is established based on the algorithms.First

the model of wood drying schedule is constructed by BP neural network and dynamical recurrent neural network

then

a multi-model fusion-modeling algorithm is designed

the models are simulated by using the measured data of the experimental drying kiln

the numerical simulation results show that the fusion-modeling method predicting standard deviation is 0.125 3

it has better prediction precision than the other models.