An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models

With the continuous development of social economy, tourism has become one of the many choices and is becoming more and more popular. However, it should be noted that how to provide high-quality and efficient tourism services is extremely important. This paper introduces the neural network algorithm...

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Autores principales:	Jingzhi Chen, Hongbo Xue, Sang-Bing Tsa
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/04d9d74d51bc44398ad959d02e95e25d
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id	oai:doaj.org-article:04d9d74d51bc44398ad959d02e95e25d
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spelling	oai:doaj.org-article:04d9d74d51bc44398ad959d02e95e25d2021-11-15T01:19:36ZAn Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models1099-052610.1155/2021/4156904https://doaj.org/article/04d9d74d51bc44398ad959d02e95e25d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4156904https://doaj.org/toc/1099-0526With the continuous development of social economy, tourism has become one of the many choices and is becoming more and more popular. However, it should be noted that how to provide high-quality and efficient tourism services is extremely important. This paper introduces the neural network algorithm and the optimal classification decision function, through unified combing, classification, and coding of scenic spots, to achieve the subclass classification of scenic spots, based on the optimal distribution function of random intelligent selection, and the formation of the corresponding scenic spots traversal clear tourism routes. The corresponding motivation iteration is obtained by using the corresponding travel route transmission, the best travel route is defined, the corresponding auxiliary decision support is provided, and the simulation experiment is carried out. The experimental results show that the neural network algorithm and the optimal classification decision function are effective and can support the intelligent decision assistance of rural tourism service.Jingzhi ChenHongbo XueSang-Bing TsaHindawi-WileyarticleElectronic computers. Computer scienceQA75.5-76.95ENComplexity, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electronic computers. Computer science QA75.5-76.95
spellingShingle	Electronic computers. Computer science QA75.5-76.95 Jingzhi Chen Hongbo Xue Sang-Bing Tsa An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models
description	With the continuous development of social economy, tourism has become one of the many choices and is becoming more and more popular. However, it should be noted that how to provide high-quality and efficient tourism services is extremely important. This paper introduces the neural network algorithm and the optimal classification decision function, through unified combing, classification, and coding of scenic spots, to achieve the subclass classification of scenic spots, based on the optimal distribution function of random intelligent selection, and the formation of the corresponding scenic spots traversal clear tourism routes. The corresponding motivation iteration is obtained by using the corresponding travel route transmission, the best travel route is defined, the corresponding auxiliary decision support is provided, and the simulation experiment is carried out. The experimental results show that the neural network algorithm and the optimal classification decision function are effective and can support the intelligent decision assistance of rural tourism service.
format	article
author	Jingzhi Chen Hongbo Xue Sang-Bing Tsa
author_facet	Jingzhi Chen Hongbo Xue Sang-Bing Tsa
author_sort	Jingzhi Chen
title	An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models
title_short	An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models
title_full	An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models
title_fullStr	An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models
title_full_unstemmed	An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models
title_sort	empirical study on intelligent rural tourism service by neural network algorithm models
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/04d9d74d51bc44398ad959d02e95e25d
work_keys_str_mv	AT jingzhichen anempiricalstudyonintelligentruraltourismservicebyneuralnetworkalgorithmmodels AT hongboxue anempiricalstudyonintelligentruraltourismservicebyneuralnetworkalgorithmmodels AT sangbingtsa anempiricalstudyonintelligentruraltourismservicebyneuralnetworkalgorithmmodels AT jingzhichen empiricalstudyonintelligentruraltourismservicebyneuralnetworkalgorithmmodels AT hongboxue empiricalstudyonintelligentruraltourismservicebyneuralnetworkalgorithmmodels AT sangbingtsa empiricalstudyonintelligentruraltourismservicebyneuralnetworkalgorithmmodels
_version_	1718428904512815104

An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models

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