A research on scenic information prediction method based on RBF neural network

Jingwen Li; Shouqiang Yin; Ke Wang

doi:10.1117/12.2207656

9 December 2015 A research on scenic information prediction method based on RBF neural network

Jingwen Li, Shouqiang Yin, Ke Wang

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98082T (2015) https://doi.org/10.1117/12.2207656
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

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.

Citation Download Citation

Jingwen Li, Shouqiang Yin, and Ke Wang "A research on scenic information prediction method based on RBF neural network", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98082T (9 December 2015); https://doi.org/10.1117/12.2207656

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