Bp Neural Network Research, Computer-aided Paint Color Matching System

The Back-Propagation (BP) network is one of the most useful Artificial Neural Network (ANN), which can deal with complicated data and nonlinear problem. Computer paint-color matching based on the BP network is a new method. This new method can avoid dealing complicated data, and the traditional methods based on Kubelka-Munk (KM) and 3-flux theory can't. Having analyzed the principle of paint color matching, a new BP network model was constructed with the data provided by XI'AN Paint Company. However, the convergent speed and studying accuracy of the past BP algorithms are very low. A new BP algorithm was put forward in this paper. This new algorithm can improve the convergent speed, studying accuracy and endurance markedly. Finally, this paper developed a paint-color matching system based on the new BP algorithm. The paint-color matching system can carry out studying and color matching very well, thus it has the value of practicality.