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Proceedings Paper

A research on scenic information prediction method based on RBF neural network
Author(s): Jingwen Li; Shouqiang Yin; Ke Wang
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Paper Abstract

Based on the rapid development of the wisdom tourism, it is conform to the trend of the development of the wisdom tourism through the scientific method to realize the prediction of the scenic information. The article,using the super nonlinear fitting ability of RBF neural network[1-2],builds a prediction and inference method of comprehensive information for the complex geographic time, space and attribute of scenic through the hyper-surface data organization of the scenic geographic entity information[3]. And it uses Guilin scenic area as an example to deduce the process of the forecasting of the whole information.

Paper Details

Date Published: 9 December 2015
PDF: 11 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98082T (9 December 2015); doi: 10.1117/12.2207656
Show Author Affiliations
Jingwen Li, Guilin Univ. of Technology (China)
Shouqiang Yin, Guilin Univ. of Technology (China)
Ke Wang, Guilin Univ. of Technology (China)


Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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