Optimal weight combination prediction model of tourism data

Abstract

The present invention discloses an optimal weight combination prediction model of tourism data. The method comprises: firstly, analyzing tourism data influential factors, and classifying the tourism data influential factors according to tourists, destinations and external environments; analyzing the tourism data influential factors that influence tourism revenues and international tourist arrivals by using a grey correlation; sequencing the correlation according to weight values, so as to obtain importance level distribution of the influential factors; then constructing an optimal weight combination prediction model based on a least squares criterion, wherein the model uses the least squares criterion, and an optimal weight value of each model is obtained under a condition of a minimum residual square-sum; and combining a GM(1,1) model and a support vector regression model by using an optimal weight; and finally, obtaining a final prediction value by using the optimal weight combination prediction model. The present invention has the advantageous effects of giving the optimal weight combination prediction model of tourism data and obtaining efficient prediction, so that scenic spot control and tourism-related industry development are supported by efficient decision data, thereby promoting economic benefit improvement in scenic spots and optimization of tourism environment.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to a tourism data optimal weight combination prediction model. Background technique [0002] Tourism is one of the components of my country's economy, and maintaining its healthy and rapid development can promote the growth of related industries, thereby promoting the overall development of China's economy. After the reform and opening up, the rapid development of social economy has greatly improved people's living standards. China's tourism industry has developed rapidly and has shown great advantages, becoming a service industry with good growth performance. The tourism industry is not only the main force to promote the development of the service industry, but also an industry with a large demand for laborers, which plays a great role in solving the country's employment problem. With the people's increasing demand for tourism consumption and the country's adjustment of the ...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a tourism data optimal weight combination prediction model, which solves the problem that there is no suitable effective model for tourism data analysis and prediction, which leads to the lack of effective decision-making data support for the control of tourist attractions and the development of tourism-related industries, which in turn affects tourist attractions. Improvement of Economic Benefit and Optimum Development of Tourist Environment

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