Establishing World Cultural Heritage Sites Resource Allocation System and Management System based on Neural Network Algorithm—A Case on Hailongtun Tusi Site

A neural network-based system demonstrates significant potential for optimizing resource allocation and management at UNESCO World Heritage Sites, particularly for cultural sites like the Hailongtun Tusi Site in Guizhou, China. The study leverages artificial intelligence to address complex calculations related to tourism resource parameters, such as face detection and recognition, while integrating creative computing methods to bridge tourism and computer science domains. This approach aims to enhance protection efforts and improve visitor services by achieving a more effective and reasonable distribution of resources. The case study highlights the system's applicability in real-world scenarios, offering a scalable solution for heritage site management.

Ren, W., Liu, Q., & Shi, M. (2019). Establishing World Cultural Heritage Sites Resource Allocation System and Management System based on Neural Network Algorithm—A Case on Hailongtun Tusi Site. International Journal of Performability Engineering. https://doi.org/10.23940/ijpe.19.02.p19.547558