Paint Color Algorithm Improvements And Extensions

In accordance of the inconsistent status between color design and color production in current Computer-Aided Industrial Design System and the practical requirement of oil paint factory, the paper investigates and puts forward an new BP algorithm to improve the studying precision and studying speed, and extends the system function on the basis of the original "Neural Network-based oil paint dividing system".The paper gives a detailed discuss on its theory, technique, algorithm improvement and function extending. It not only expounds the basic knowledge on color and chroma, builds the sample database for the studying of BP network, but also finds an effective BP algorithm adapted to actual requirements after high analysis and test. It also utilizes some internet technique to realize the network edition of the dividing function and fulfill the sharing of resource.The testing result shows that the improved BP algorithm can supply a gap of the old BP algorithm and solve the problem of computer dividing.