Research on Sustainable Landscape Design and Public Environmental Perception of Modern Communities Based on Deep Learning Nonlinear Data

Authors

  • Wangming Hu 1Dept. of Industrial and Design, Dong-A University, Busan 49315, Korea 2Dept. of Design and Art, Quanzhou Arts and Crafts Vocational College, Quanzhou 362500, Fujian, China
  • Gulong Wang 1Dept. of Industrial and Design, Dong-A University, Busan 49315, Korea 2Dept. of Design and Art, Quanzhou Arts and Crafts Vocational College, Quanzhou 362500, Fujian, China

DOI:

https://doi.org/10.13052/spee1048-5236.4243

Keywords:

Deep learning, nonlinear data, sustainable green development, landscape design, public environmental perception

Abstract

In order to study the impact of modern community sustainable landscape design under deep learning nonlinear data and its role in public environmental perception, this paper discusses the traditional landscape design concept and the modern community sustainable landscape design concept under deep learning nonlinear data, and compares and analyzes the relevant elements, the functional performance of landscape architecture and the comprehensive effect through statistical methods. The results are statistically significant. Through analysis and verification, modern community sustainable landscape design based on deep learning nonlinear data can better promote the integration of landscape, humanities and environment, improve the quality of community environment, so as to improve the physical and mental health of the public and meet the public’s needs for the environment.

Downloads

Download data is not yet available.

Author Biography

Wangming Hu, 1Dept. of Industrial and Design, Dong-A University, Busan 49315, Korea 2Dept. of Design and Art, Quanzhou Arts and Crafts Vocational College, Quanzhou 362500, Fujian, China

Wangming Hu was born in Xiangyin, Yueyang, P.R. China, in 1988. He received the bachelor’s degree and master’s degree from Fuzhou University, P.R. China. Now, he is studying for a Ph.D. at the Dept. of Industrial and Design, Dong-A University, Busan, South Korea. His research interest include sustainable landscape design, user experience design and artificial intelligence technology

References

Li Weitao Inheritance of humanistic spirit in modern community landscape – Taking the landscape design of Jinjiang sunshine city lijingwan project as an example [j] Fujian building materials, 2022 (05): 28–30+47.

Mayanfang Thinking and application analysis of urban landscape design from the perspective of regional culture [j] Journal of Jilin Institute of agricultural science and technology, 2022, 31 (03): 39–42.

Wang Wenpeng Analysis of modern landscape design in residential environment [j] Beauty and times (Urban Edition), 2021 (06): 72–73.

Li Lin, Chen koudan Optimization and transformation of urban landscape design under digital virtual technology [j] Journal of Mianyang Normal University, 2022, 41 (05): 108–114.

Peng Sha, Zhou Bo Nonlinear analysis of fitness space satisfaction of Lukang Park in Lhasa Zongjiao [j] Modern urban research, 2022 (02): 30–36.

Li Xin, Wu Danzi, Li Luo, Wang Xiangrong Research on visual perception evaluation of urban riverside greenway landscape based on deep learning [j] Journal of Beijing Forestry University, 2021, 43 (12): 93–104.

Lu Yan Research on building energy consumption prediction method based on cyclic characteristics and deep learning algorithm [j] Industrial heating, 2022, 51 (05): 31–35.

Duan Xiaoxiao, Ma Jiangping, Gao Ruixin, Liu Qingying, Yuan Zhe Nonlinear analysis of shock absorption effect of fire water tank on the top of high-rise building [j] Real estate world, 2022 (09): 33–35.

Wang Linqi Landscape design of community public space based on the needs of youth groups [j] Modern gardening, 2022, 45 (09): 97–99.

Linghongjie Space design and plant allocation in community park landscape design [j] Modern horticulture, 2022, 45 (06): 54–56.

Ding Jia Future oriented “complete community” landscape space design – Research on sustainable green environment in communities [j] Engineering construction and design, 2022 (04): 4–6.

Yin Jing Exploration and analysis of interactive experiential landscape design in community shared space [j] Modern horticulture, 2021, 44 (10): 41–42.

Yucen Zhai, Wen Li, Study on the Construction of Landscape Architecture in Residential District Based on Urban Greening Remote Sensing[J] Journal of Sensors, 2022, 1449166:11.

Published

2023-07-11

How to Cite

Hu, W. ., & Wang, G. . (2023). Research on Sustainable Landscape Design and Public Environmental Perception of Modern Communities Based on Deep Learning Nonlinear Data. Strategic Planning for Energy and the Environment, 42(04), 631–646. https://doi.org/10.13052/spee1048-5236.4243

Issue

Section

Articles