Prediction of the high-quality development level of inbound tourism based on adaptive neural network technology

ABSTRACT

Visitors abroad come on an inbound tourism (IT) trip. Travelling beyond one's usual surroundings for no more than a year in one go, or no less than tourist culture is considered inbound tourism. A network called adaptive neural networks (ANN) is used in dynamic tourism situations. Many methods are used to make neural networks flexible: weight adjustment, changes in neuronal characteristics, and changes in the network's structural composition. One of the biggest problems is that cultural clashes lead to many different places, which strain the transportation system. IT-ANN tools and technologies are discussed in this study, including the possibilities of visitor time and space-relationship data. As a result, inbound tourism doesn't have to rely on weekend domestic travel because individuals who go on holiday overseas tend to return year after year. Finally, the neural network is equipped with a prediction model of travellers’ spatial and temporal distribution.

KEYWORDS:

• Neural networks
• inbound tourist
• tourism culture
• transport network

Acknowledgements

This research was financially supported by the 2017 Humanities and Social Science Research Youth Fund Project of the Ministry of Education, ‘Research on the Structural Optimisation of the Supply Side of Rural Leisure in Guizhou from the Perspective of Targeted Poverty Allocation’ (grant number 17YJCZH240) and the National Social Science Foundation Project ‘Measurement of the Development Level of Beautiful China and its Impact on the Change of Inbound Tourism Flow and Quality’ (grant number 19bjy207).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Humanities and Social Science Research Youth Fund Project of the Ministry of Education “Research on the Structural Optimization of the Supply Side of of mountain and ethnic Characteristic cultural tourism in Guizhou Province” [Grant Number 21GZQN12] and the National Social Science Foundation Project “Measurement of the Development Level of Beautiful China and its Impact on the Change of Inbound Tourism Flow and Quality” [Grant number 19bjy207].

Notes on contributors

Hongxi Zhang

Hongxi Zhang, male, born in 1987, from Nanyang, Henan Province, lecturer of Guizhou Minzu University, doctoral candidate in management of South China University of Technology,, research interests: leisure economy and management, tourism resource development. [email protected]

Wei Wei

Wei wei, female, born in 1964, doctor, Professor of South China University of technology, researcher of Modern Service Industry Research Institute, doctoral supervisor, main research direction: low carbon Tourism and international hotel management. [email protected]

Qiong Liu

Liu Qiong, corresponding author, female, born in 1990 in Nanyang, Henan Province, teaching assistant of Guizhou Minzu University, postgraduate, research direction: rural tourism, [email protected]