Tourism Route Decision Support Based on Neural Net Buffer Analysis

The route planning before tourists going to an unfamiliar city is relatively subjective, which can hardly provide maximum motive benefits. Aimed at the problem, tourism route decision support based on neural net buffer analysis model is brought up in this paper. Firstly, sight spots in Zhengzhou city are taken as examples to ensure research objects. GIS buffer analysis and manual neural net are taken as basic model to ensure research method, on which base, motive iterative function transmission model related to neural net transmission chain and service facility in sight spots buffer is set up. And then three downtown sight spots are taken as algorithm example to research the feasibility of the model to calculate motive iterative function output value of different tourism routes with the same sight spots, which provides objective tourism route decision support for tourists. Algorithm example proves that the model brought up in this paper is feasible and valuable, and can provide effective decision support for tourists.


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  • Accession Number: 01638840
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 26 2017 9:31AM