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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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 36087 - 22
Hlavní autori:	Chen, Xiaolong, Wong, Cora Un In, Zhang, Hongfeng, Song, Zhengchun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 15.10.2025 Nature Publishing Group Nature Portfolio
Predmet:	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
On-line prístup:	Získať plný text
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