Construction of International Talents Training System in Vocational Colleges Integrating Big Data Analysis

As an important part of the education field, vocational college education not only needs to lay emphasis on the improvement of education quality, but also needs to lay emphasis on cultivating of international talents driven by big data, so as to improve students' information literacy in various ways. Big data changes the way people live, produce, work and study, as well as the value system, knowledge system and social governance model, which puts forward urgent practical requirements for innovating various talent training models. Big data in education not only encompasses diverse information types and faster transmission speed but also exhibits characteristics of authenticity and diversity. This paper designs an international talent assessment algorithm through fuzzy transformation and neural network. After the system is established stably, the fuzzy assessment given by ordinary appraisers can be directly used as input to calculate the expert-level assessment results, thus reducing the cost of talent assessment. The simulation results indicate that the accuracy of this talent assessment algorithm is improved by 22.66 % in comparison with the traditional method. Using this model for talent evaluation can complete the application of big data assessment and big data technology, thus realizing the acquisition and mining of valuable assessment data machines on the network platform.