| Title: |
Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model |
| Authors: |
Gang Li, Jinlong Cheng |
| Source: |
Advances in Meteorology, Vol 2022 (2022) |
| Publisher Information: |
Hindawi Limited, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Meteorology. Climatology |
| Subject Terms: |
Meteorology. Climatology, QC851-999 |
| More Details: |
The rational evaluation of tourism resources and the discovery of valuable potential tourism resources are important foundations for promoting the development of tourism industry. This paper systematically reviews the development history of China’s ethnic tourism resource evaluation, analyzes the three different stages of tourism resource evaluation changes and their basic characteristics, and conducts research on tourism resource evaluation based on artificial intelligence neural network model to avoid the influence of subjective factors on the evaluation results to the greatest extent. This paper uses the literature comparison method, theoretical analysis method, and expert consultation method to construct an evaluation index system containing 5 primary indicators and 12 secondary indicators on the basis of which an evaluation model is designed focusing on the error values in the evaluation model, and the evaluation model is applied to the evaluation of tourism resources in several major cities, and its evaluation results and error ranges meet the requirements. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1687-9317 |
| Relation: |
https://doaj.org/toc/1687-9317 |
| DOI: |
10.1155/2022/5422210 |
| Access URL: |
https://doaj.org/article/d41ab5bfc5b5441a9dc26e68706dcf4c |
| Accession Number: |
edsdoj.41ab5bfc5b5441a9dc26e68706dcf4c |
| Database: |
Directory of Open Access Journals |
|
Full text is not displayed to guests. |
Login for full access.
|
