以人工林樟子松和大青杨为研究对象,提出了一种基于模糊神经网络的计算机配色系统设计方案,该方案模型为4层网 络,具有实现简单的特点;在此基础上,用C语言编程实现了软件设计。该系统以已知颜色和目标颜色的色差作为输入,配方浓度作为输出,建立了木材染色配方预测平台,并利用试验验证了模型,证明了模型的可行性。该平台的建立,对于木材染色的工业普及与应用具有重要作用。

The coniferous tree (Pinus sylvestris) and broadleaf tree (Populus ussuriensis) are taken as the research objects, and a kind of design scheme for Computer Color Matching (CCM) system is put forward based on four layer fuzzy neural network and its software design is implemented by C language programming. The system takes the color differences between known colors and objective colors as its input and formula concentration as its output, and establishes the wood dyeing formula forecast platform. The platform plays an important role in the industrial popularity and applications of wood dyeing.