A Novel Big Data Algorithm of Data Visualization and Generation Adversarial Network Fusion for International Trade

When using the traditional method to evaluate the international trade capacity, there is a problem of poor evaluation accuracy. To this end, the international trade big data algorithm of data visualization and generation confrontation network fusion is proposed. The fuzzy evaluation theory is used to establish the evaluation factor set of data visualization and generation confrontation network fusion, calculate the weight of each factor, and obtain the ratio of the weight of each factor. The international trade big data algorithm is used to study the fusion of data visualization and generating adversarial network, and combined with the gray theory to calculate the evaluation rate of data visualization and generated adversarial network fusion, to complete the research of data visualization and generated adversarial network fusion. According to the simulation experiment results, the proposed method can effectively improve the effectiveness and reliability of data visualization and generation adversarial network (GAN) fusion capability evaluation.