<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to make the landscape design concept break through the traditional barriers and achieve diversification and nationalized development, this paper proposes a landscape design model that integrates traditional culture to effectively integrate traditional culture and landscape design. First use active adaptation technology to test the algorithm convergence ability, and then sample the basic situation of landscape design, reconstruct the collected information, construct the characteristic information flow, and use the linear regression analysis model and the Internet of Things technology to construct the distribution The structure model is used to analyze its characteristics. Then, by introducing the nonlinear dynamic inertia weight coefficient, according to the traditional particle swarm algorithm, the optimized particle swarm algorithm is proposed, and its robustness is tested, the error is analyzed, and the error values are all less than 0.1.Finally, the model in this paper is experimentally tested in a quantitative way. The results show that the traditional culture and landscape design fusion model proposed in this paper has a reasonable error value and has practical application significance.</p>
</abstract>

In order to make the landscape design concept break through the traditional barriers and achieve diversification and nationalized development, this paper proposes a landscape design model that integrates traditional culture to effectively integrate traditional culture and landscape design. First use active adaptation technology to test the algorithm convergence ability, and then sample the basic situation of landscape design, reconstruct the collected information, construct the characteristic information flow, and use the linear regression analysis model and the Internet of Things technology to construct the distribution The structure model is used to analyze its characteristics. Then, by introducing the nonlinear dynamic inertia weight coefficient, according to the traditional particle swarm algorithm, the optimized particle swarm algorithm is proposed, and its robustness is tested, the error is analyzed, and the error values are all less than 0.1.Finally, the model in this paper is experimentally tested in a quantitative way. The results show that the traditional culture and landscape design fusion model proposed in this paper has a reasonable error value and has practical application significance.

Research on the application of traditional culture in landscape design

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on the application of traditional culture in landscape design"}

In order to make the landscape design concept break through the traditional barriers and achieve diversification and nationalized development, this paper...

Research on the application of traditional culture in landscape design

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 3203 - 3216

Eingereicht: 25. Feb. 2022

Akzeptiert: 05. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00031

Schlüsselwörter
Traditional culture, Landscape design, Particle swarm algorithm, Linear regression analysis, Weight coefficient

© 2023 Zhihong Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the application of traditional culture in landscape design

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 3203 - 3216

Eingereicht: 25. Feb. 2022

Akzeptiert: 05. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00031

SchlüsselwörterTraditional culture, Landscape design, Particle swarm algorithm, Linear regression analysis, Weight coefficient

© 2023 Zhihong Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Traditional culture, Landscape design, Particle swarm algorithm, Linear regression analysis, Weight coefficient