Study on wood dyeing pigment formula prediction model based on dynamic fuzzy neural network

This paper studied a kind of wood dyeing pigment formula prediction model built by using dynamic fuzzy neural network. The relative error of this prediction model was 0.52% and its training time was 128s. The results were comparatively satisfactory. This method provided a new way for wood dyeing and color matching and a new idea for the applications of its theories in color matching system, so it had certain theoretical research and practical application value.