Enhanced backpropagation neural network accuracy through an improved genetic algorithm for tourist flow prediction in an ecological village

Extant tourism studies on predicting tourist flow often adopt Backpropagation Neural Network (BP-NN) and Genetic Algorithm-Backpropagation Neural Network (GABP-NN). However, those models cannot well address the challenge of nonlinear complexity of tourists’ mobility, and fuzzy decision-making due to...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 36087 - 22
Hauptverfasser:	Chen, Xiaolong, Wong, Cora Un In, Zhang, Hongfeng, Song, Zhengchun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 15.10.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705 639/705/258 639/705/531 Accuracy Adaptability Adaptive optimization Algorithms Back propagation BP neural network Cultural heritage Decision making Ecological scenic area Genetic algorithm Genetic Algorithms Holidays & special occasions Humanities and Social Sciences Humans Innovations Machine learning multidisciplinary Mutation Neural networks Neural Networks, Computer Nonlinear forecasting Optimization Ourist flow prediction Pandemics Population genetics Population studies Resource management Science Science (multidisciplinary) Seasonal variations Statistical methods Sustainable development Sustainable tourism Tourism Tourism development Tourism industry Tourists Trends Weather BP neural network Nonlinear forecasting Ourist flow prediction Ecological scenic area Genetic algorithm Adaptive optimization
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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