scholarly journals Study on Suitability of Classical Beauty and Function in Environmental Art Design

Author(s):  
Shengyan Xue
2021 ◽  
Vol 7 (5) ◽  
pp. 4111-4121
Author(s):  
Peng Changrong ◽  
Song Nan ◽  
Zhang Xiaodong ◽  
Ma Yichu ◽  
Luo Chencheng

Combined with the development requirements of current environmental art mining system, the design method of environmental art design element mining system based on deep learning is optimized, and the hardware configuration of environmental art design element mining system is introduced. Combined with the principle of deep learning, the system software operation algorithm and function are improved, so as to improve the effect of environmental art design element mining, Ensure the operation effect of the system to the greatest extent. Finally, the experiment proves that the environment art design element mining system based on deep learning has high effectiveness in the practical application process, which can better guide the design of environment art and fully meet the research requirements.


2021 ◽  
Vol 7 (5) ◽  
pp. 4101-4110
Author(s):  
Song Nan ◽  
Zhang Xiaodong ◽  
Peng Changrong

Environmental art mainly uses the collocation of color and spatial structure for landscape layout. Different environmental styles have different artistic characteristics. In order to better design the environmental space, this paper puts forward the intelligent analysis method of artistic environmental construction style based on artificial intelligence technology. By analyzing the environment into characteristics and the environmental style into process, the direction of environmental art design is innovated while the environmental design is carried out reasonably.


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