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

doi:10.23940/ijpe.19.02.p19.547558

Abstract

Abstract:

A World Heritage Site must be of outstanding universal value and meet at least one out of ten selection criteria that in some respect as a geographically and historically identifiable place having special cultural or physical significance. Therefore, an increasing number of World Heritage Sites have been developed to be the tourist attractions worldwide. Tourism resources of the World Cultural Heritage Sites are used for protecting the heritage and providing better service for the tourists. Therefore, achieving a reasonable and effective resource allocation and resource supervising system is required. This research aims at solving such problem. The artificial intelligence techniques, especially the neural network algorithm is used in this research to complete massive calculations, including facing detecting and recognising, resource elements parameters calculation, and so forth. Creative computing theories and methods are working for combining the tourism area with computer science area. To express the system more explicitly, a case about Hailongtun World Cultural Heritage Site, which located in the Guizhou province in China, is used for testing the system.

Key words: World Cultural Heritage, neural network, creative computing, allocating and management system

Wei Ren, Qinyun Liu, and Meiyu Shi. Establishing World Cultural Heritage Sites Resource Allocation System and Management System based on Neural Network Algorithm—A Case on HailongtunTusi Site [J]. Int J Performability Eng, 2019, 15(2): 547-558.

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