Finding the Best Route for Connecting Citizens with Service Centers in Baghdad Based on NN Technology

Q4 Earth and Planetary Sciences Iraqi Journal of Science Pub Date : 2024-03-29 DOI:10.24996/ijs.2024.65.3.39
Nibras A.Mohammed Ali, Faisel G. Mohammed, S. G. Mohammed
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Abstract

     A geographic information system (GIS) is a very effective management and analysis tool. Geographic locations rely on data. The use of artificial neural networks (ANNs) for the interpretation of natural resource data has been shown to be beneficial. Back-propagation neural networks are one of the most widespread and prevalent designs. The combination of geographic information systems with artificial neural networks provides a method for decreasing the cost of landscape change studies by shortening the time required to evaluate data. Numerous designs and kinds of ANNs have been created; the majority of them are PC-based service domains. Using the ArcGIS Network Analyst add-on, you can locate service regions around any network site. A network service area is a region that comprises all accessible roadways (that is, routes that are within defined impedance) (that is, streets that are within specified impedance). In contrast to the Google Maps application, the 5-minute service area for a site on a network comprises all streets that can be accessed within five minutes.
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基于 NN 技术寻找巴格达市民与服务中心之间的最佳连接路线
地理信息系统(GIS)是一种非常有效的管理和分析工具。地理位置依赖于数据。事实证明,使用人工神经网络(ANN)解释自然资源数据是有益的。反向传播神经网络是最广泛、最流行的设计之一。将地理信息系统与人工神经网络相结合,可以缩短评估数据所需的时间,从而降低景观变化研究的成本。人工神经网络的设计和种类繁多,其中大多数是基于 PC 的服务域。使用 ArcGIS Network Analyst 附加组件,您可以定位任何网络站点周围的服务区域。网络服务区域是由所有可访问的道路(即阻抗在规定范围内的路线)(即阻抗在规定范围内的街道)组成的区域。与谷歌地图应用程序不同的是,网络站点的 5 分钟服务区包括可在 5 分钟内到达的所有街道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iraqi Journal of Science
Iraqi Journal of Science Chemistry-Chemistry (all)
CiteScore
1.50
自引率
0.00%
发文量
241
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