Application of Artificial Intelligence Based on Symbiosis Theory in the Design of Landscape Park
Authors
Xiuli Qu1, *, Haiyong Shen2
1Shenyang Jianzhu University, Master Degree Candidate, Shenyang, China
2Shenyang Jianzhu University, Adjunct Professor, Shenyang, China
*Corresponding author.
Email: 1429030651@qq.com
Corresponding Author
Xiuli Qu
Available Online 10 October 2023.
- DOI
- 10.2991/978-94-6463-266-8_20How to use a DOI?
- Keywords
- symbiosis theory; artificial intelligence; intelligent design; landscape park
- Abstract
Artificial intelligence plays a bridging role in the interaction between humans and landscape parks. It is of great significance in coordinating the relationship between humans and nature and closely linking them together, and thus achieving organic unity. Through human infrared sensing technology, high-end control system technology, 5G intelligent management system and other technologies to realize the application of artificial intelligence in landscape park design, make landscape design more varied, flexible and interesting, and realize the dynamic interaction between man and natural environment.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiuli Qu AU - Haiyong Shen PY - 2023 DA - 2023/10/10 TI - Application of Artificial Intelligence Based on Symbiosis Theory in the Design of Landscape Park BT - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023) PB - Atlantis Press SP - 183 EP - 191 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-266-8_20 DO - 10.2991/978-94-6463-266-8_20 ID - Qu2023 ER -