Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model
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 th...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2022/5422210 |
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| _version_ | 1849683601517445120 |
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| author | Gang Li Jinlong Cheng |
| author_facet | Gang Li Jinlong Cheng |
| author_sort | Gang Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d41ab5bfc5b5441a9dc26e68706dcf4c |
| institution | DOAJ |
| issn | 1687-9317 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-d41ab5bfc5b5441a9dc26e68706dcf4c2025-08-20T03:23:47ZengWileyAdvances in Meteorology1687-93172022-01-01202210.1155/2022/5422210Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network ModelGang Li0Jinlong Cheng1Kyrgyz National UniversityLuoyang Normal UniversityThe 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.http://dx.doi.org/10.1155/2022/5422210 |
| spellingShingle | Gang Li Jinlong Cheng Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model Advances in Meteorology |
| title | Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model |
| title_full | Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model |
| title_fullStr | Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model |
| title_full_unstemmed | Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model |
| title_short | Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model |
| title_sort | research on tourism resource evaluation based on artificial intelligence neural network model |
| url | http://dx.doi.org/10.1155/2022/5422210 |
| work_keys_str_mv | AT gangli researchontourismresourceevaluationbasedonartificialintelligenceneuralnetworkmodel AT jinlongcheng researchontourismresourceevaluationbasedonartificialintelligenceneuralnetworkmodel |