Genetic algorithm(GA) and artificial neural network(ANN) were employed to study on performance prediction of wood-plastics composite(WPC) material.Firstly,ANN was adopted to build the relationship between mechanical performance of WPC,which was internal bond strength(IB),modulus of rupture(MOR),modulus of elasticity(MOE) and thickness swelling(TS),and main technological parameters,which were hot-pression time(T),the recycled polypropylen(PP) and maleic anhydride(MA).Secondly,the weight and threshold of ANN model were optimized by GA.Finnally,mechanical performance of WPC was predicted by the optimized ANN models;and the proof generalization test of ANN was done.The results show the errors of MOE predicted by GA optimized model are 2%~15.5%、9%~38% and 4%~70% respectively,which is less than those of non-optimized model.There is the same conclusion as for IB,MOR and TS.