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首页> 外文期刊>International Journal of Performability Engineering >Establishing World Cultural Heritage Sites Resource Allocation System and Management System based on Neural Network Algorithm - A Case on Hailongtun Tusi Site
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Establishing World Cultural Heritage Sites Resource Allocation System and Management System based on Neural Network Algorithm - A Case on Hailongtun Tusi Site

机译:基于神经网络算法的建立世界文化遗产资源分配系统和管理系统 - 以海隆屯塔伊网站为例

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摘要

A World Heritage Site must be of outstanding universal value and meet at least one out of ten selection criteria that in some respcct 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.
机译:世界遗产网站必须具有突出的普遍价值,并在一些选定标准中满足至少一个,其中一些respcct是具有特殊文化或物理意义的地理位置和历史上可识别的地方。因此,已开发出越来越多的世界遗产地成为全球旅游景点。世界文化遗产的旅游资源用于保护遗产并为游客提供更好的服务。因此,需要实现合理有效的资源分配和资源监督系统。这项研究旨在解决这些问题。本研究中使用了人工智能技术,特别是神经网络算法,以完成大规模计算,包括面向检测和识别,资源元素参数计算等。创造性的计算理论和方法正在为与计算机科学领域的旅游区结合起作用。要更明确地表达该系统,有关位于中国贵州省的海隆屯世界文化遗产遗址的案例用于测试系统。

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