Assistant decision-making model for colour matching of outer packing

Abstract

In order to solve the problem of low matching accuracy in traditional methods, a decision-making model of colour matching of outer packaging is designed. The support vector machine algorithm is used to determine the finite dataset in two-dimensional space, and the similar data is fused to extract the colour matching data feature of the product outer packaging. The state characteristics and probability distribution of feature data are determined by dynamic Bayesian network, and the data features are preprocessed. First particle swarm optimisation algorithm is used to determine the particle velocity and the best position, then the optimal scheme of colour matching of the outer packaging is obtained, and finally, the auxiliary decision model of the colour matching of the outer packaging is completed. Experimental results show that the proposed method can effectively improve the matching accuracy of the colour matching of the outer packaging, with the highest of 95%.