Abstract
With the development of neural network technology and the rapid growth of China's tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm and designs the neural network analysis system of influencing factors of tourism resources based on multispecies evolutionary genetic algorithm. The collection and acquisition of data information are realized from the aspects of resource income status, tourism development investment, and sustainability evaluation in the tourism area. The multispecies evolutionary genetic algorithm is used for comprehensive analysis and evaluation. The algorithm can realize the complex analysis and comprehensive evaluation of the core influencing factors of neural network. Accurate analysis and evaluation were carried out according to the different characteristics of tourism resources and the current situation of tourism income. The results show that the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm has the advantages of high practicability, good sorting effect of variable ratio, and good data integration. It can effectively analyze and compare the comprehensive evaluation factors affecting tourism resources in different ratios.
Highlights
Tourism resources are the premise and foundation of tourism development
Under the neural network based on multispecies evolutionary genetic algorithm, the proportion of tourism supported by tourists is higher than 82%, and the incentive efficiency to the region is higher than 76%, which is among the tourism resources that do not pay attention to sustainability, e proportion of tourism supported by tourists is no more than 37%, and the incentive effectiveness rate for the region is no more than 53%
We can clearly know that the influencing factors of sustainability on tourism resources are diverse and have great advantages in obtaining tourist support and measuring the efficiency of regions. is shows that the neural network based on the multispecies evolutionary genetic algorithm can be helpful for the comprehensive evaluation of current tourism resources and has practical significance for the overall development planning of tourism resources
Summary
Tourism resources are the premise and foundation of tourism development. Tourism resources mainly include natural landscape tourism resources and cultural landscape tourism resources. E innovation of comprehensive evaluation methods in different regions includes method innovation, system innovation, category innovation, distribution innovation, and scientific and technological innovation, which provides an opportunity to carry out an intelligent comprehensive evaluation of tourism resources on a large scale [2]. Let tourism carry out evaluation and innovation more beneficial to national development according to innovation type and sustainability in the process of tourism development [5]. In this context, this paper proposes the research on the influencing factors of neural network based on multispecies evolutionary genetic algorithm
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