Analysis of Benefits and Security of China’s Foreign Investment with Artificial Intelligence under the Belt and Road

At a new historical crossroads, China’s Belt and Road Initiative (BRI) is a major measure to coordinate sustained economic growth at home, maintain a peaceful and stable environment in the surrounding region, and foster regional economic and commercial cooperation in the region. The BRI, a major initiative, can not only drive national economic growth but also has far-reaching significance for promoting world economic prosperity and peace. The national plan clearly pointed out that in the face of the new international pattern and situation, China should improve its new opening-up system and promote construction for the BRI in the future. In this context, research on the benefits and security issues for foreign investment under the BRI has become an important topic. This work combines it with artificial intelligence to propose a neural network (IPSO-DBN) for evaluating the effectiveness and safety of Chinese outbound investment. First, this work applies DBN to evaluate the benefits and security for outbound investment under the BRI. This work introduces a policy of linearly decreasing weights and an adaptive learning factor into the PSO algorithm to construct IPSO. Then, the IPSO is utilized to optimize initial weights for DBN, and the problem of initial weights are random and easy to fall local optimal solution is improved to construct IPSO-DBN. Second, this work puts forward a series of suggestions for Chinese enterprises to invest abroad in response to the current investment problems under the BRI Third, this work has carried out various experiments on IPSO-DBN and Chinese enterprises’ foreign investment proposals, and the experimental results have verified the feasibility of the method designed in this work.