Visitors abroad come on an inbound tourism (IT) trip. Travelling beyond one’s usual surroundingsfor no more than a year in one go, or no less than tourist culture is considered inboundtourism. A network called adapti...Visitors abroad come on an inbound tourism (IT) trip. Travelling beyond one’s usual surroundingsfor no more than a year in one go, or no less than tourist culture is considered inboundtourism. 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 neuronalcharacteristics, and changes in the network’s structural composition. One of the biggestproblems is that cultural clashes lead to many different places, which strain the transportationsystem. IT-ANN tools and technologies are discussed in this study, including the possibilities ofvisitor time and space-relationship data. As a result, inbound tourism doesn’t have to rely onweekend domestic travel because individuals who go on holiday overseas tend to return yearafter year. Finally, the neural network is equipped with a prediction model of travellers’ spatialand temporal distribution.展开更多
基金the Humanities and Social Science Research Youth Fund Project of the Ministry of Education“Research on the Structural Optimization of the SupplySide of of mountain and ethnic Characteristic culturaltourism in Guizhou Province” [Grant Number 21GZQN12]and the National Social Science Foundation Project “Measurementof the Development Level of Beautiful China and its Impact on the Change of Inbound Tourism Flowand Quality”[Grant number 19bjy207].
文摘Visitors abroad come on an inbound tourism (IT) trip. Travelling beyond one’s usual surroundingsfor no more than a year in one go, or no less than tourist culture is considered inboundtourism. 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 neuronalcharacteristics, and changes in the network’s structural composition. One of the biggestproblems is that cultural clashes lead to many different places, which strain the transportationsystem. IT-ANN tools and technologies are discussed in this study, including the possibilities ofvisitor time and space-relationship data. As a result, inbound tourism doesn’t have to rely onweekend domestic travel because individuals who go on holiday overseas tend to return yearafter year. Finally, the neural network is equipped with a prediction model of travellers’ spatialand temporal distribution.
