Application of AI Technology in Entrepreneurial Ecosystems based on Improved Dual-Learning Model

Dual learning is extensively applied, making the entrepreneurial ecosystems a research hotspot. The traditional dual-system is inadequate to solve the problem of entrepreneurial ecosystems. Therefore, this paper proposes an improved dual-learning model to judge entrepreneurial ecosystems. First, the dual vocational training method is used to classify the entrepreneurial ecosystems data according to the types of entrepreneurship, abating the processing complexity of diverse entrepreneurial ecosystems data and the impact of multi-dimensional entrepreneurial models on ecosystems. Then, the dual-system vocational training model classifies the data, forms different dimensions of the entrepreneurial ecosystems domain, and comprehensively judges them. Through MATLAB simulation, in the case of a specific level of performance, the accuracy and calculation time of the algorithm constructed in this paper are superior to the improved dual-learning model. According to initial entrepreneurial ecosystems standards and expected results of the conditions, the improved dual-learning model constructed in this paper can comprehensively assess entrepreneurial ecosystems in line with the needs of entrepreneurial ecosystems.