Scenic spot dynamic quality prediction method based on echo state grids

An echo state network and quality prediction technology, applied in prediction, special data processing applications, instruments, etc., can solve problems such as the difference in the probability of tourists visiting various scenic spots, and the reduction of practical feasibility.

Inactive Publication Date: 2017-11-03
SOUTHEAST UNIV
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Problems solved by technology

However, they do not take into account the differences in the probability of tourists visiting various attractions at different times, which reduces the feasibility of the plan

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  • Scenic spot dynamic quality prediction method based on echo state grids
  • Scenic spot dynamic quality prediction method based on echo state grids
  • Scenic spot dynamic quality prediction method based on echo state grids

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Embodiment Construction

[0039] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0040] Based on the real data set, the specific implementation of the comprehensive quality evaluation of scenic spots based on the echo state network to predict the dynamic quality of scenic spots in the present invention is intuitively and detailedly analyzed and explained below in conjunction with the accompanying drawings. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. After reading the present invention, modifications to various equivalent forms of the present invention by those skilled in the art all fall within the appended rights of this application. In the example of the present invention, according to the computing power of the computer and the error situation, the parameter optimization setting analysis is carried out: al...

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Abstract

The invention discloses a method for predicting scenic spot dynamic quality, calculating comprehensive scenic spot quality and carrying out comprehensive quality evaluation by combining echo state networks. The method comprises steps of excavating history tracks of scenic spots with the same attributes visited by users through the network; by use of echo state networks, according to probability distribution of history visiting scenic spots of the user, predicting scenic spot dynamic quality (i.e., the future scenic spot visitability); and by combining scenic spot static quality like the famous degree of the scenic spots and the interesting degrees of the visitors excavated through the network, quantifying the scenic spot comprehensive quality. According to the invention, the quantified scenic spot comprehensive quality is quite relatively objective and has actual meanings.

Description

technical field [0001] The invention relates to the field of dynamic quality prediction of scenic spots, in particular to a method for predicting dynamic quality of scenic spots based on echo state network. Background technique [0002] When tourists plan to travel on a certain day in the future, it is more important to obtain the accessibility information of each scenic spot on that day. If the scenic spot is selected only based on the static quality of the scenic spot, there may be unrealistic tourism methods such as visiting the beach in winter. In order to solve the above problems, fully predicting the dynamic quality of scenic spots on a certain day in the future has practical significance for tourists to choose scenic spots. In this paper, the echo state network is used to realize the prediction of the dynamic quality of scenic spots. [0003] Echo State Network (ESN) is a special type of recurrent neural network for performing nonlinear system prediction. The ESN a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/30
CPCG06Q10/04G06F16/9535
Inventor 陈赟闫文杨绿溪李春国黄永明
Owner SOUTHEAST UNIV
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