Affiliation:
1. Xinjiang University of Finance and Economics
Abstract
Abstract
Under the "Belt and Road" policy, the Chinese government encourages economic cooperation and mutual benefits among countries and regions along the route, promoting cooperation in infrastructure construction, trade and investment facilitation, financial cooperation, and cultural exchanges. This study aims to explore the application of optimized end-to-end convolutional neural networks (CNNs) in cross-cultural project management under the "Belt and Road" strategy. Firstly, the background and significance of the "Belt and Road" strategy and the importance of cross-cultural project management are introduced. Then, an end-to-end stereo matching network with dense feature fusion is established. Taking Project X as an example, the problems in cross-cultural project management are analyzed. Finally, through the analysis of the problems in Project X, the effectiveness and practicality of the optimized end-to-end CNNs in cross-cultural project management are confirmed, and feasible solutions are proposed. The research results show that the end-to-end stereo matching network with dense feature fusion has significant advantages over traditional algorithms in terms of error and execution efficiency, with a reduced response time of 0.22 seconds. Based on the principles of the end-to-end model, feasible solutions are proposed for the problems in Project X, validating the rationality and scientific nature of this research. Through deep learning techniques, the efficiency and accuracy of cross-cultural project management can be improved, promoting economic cooperation and cultural exchanges among countries and regions along the "Belt and Road". This technology can also identify and analyze behaviors and attitudes in different cultural backgrounds, helping project managers better understand and address issues in cross-cultural communication. Furthermore, this technology will facilitate economic cooperation and cultural exchanges along the "Belt and Road", promoting the implementation of the strategy.
Publisher
Research Square Platform LLC