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Tourism Demand Prediction Model Using Particle Swarm Algorithm and Neural Network in Big Data Environment
Since demand forecasting is the first step in managing and operating a tourism business, its accuracy is very important to tourism businesses. In order to address NN's drawbacks, such as local optimization, slow convergence, and large sample sizes, this paper organically combines the PSO and NN...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477583/ https://www.ncbi.nlm.nih.gov/pubmed/36120153 http://dx.doi.org/10.1155/2022/3048928 |