Liu Yating, Fan Lingyan, Wang Lan
Sanda University, Shanghai, 201209, China.
Sci Rep. 2024 Jun 14;14(1):13747. doi: 10.1038/s41598-024-64296-x.
In the last few years, with the fast growing of neural network field such as those for virtual reception and enhanced nature, the practice and theory of conventional landscape are impacted and challenged by virtual landscape based on these sorts of neural network technologies. On the one hand, the virtual landscape changes the carrier of landscape design from material real world to the networked virtual world, which breaks the traditional way of generating landscape and the way of expression of results. On the other hand, the virtualized and networked morphological characteristics of the virtual landscape itself and its capacity that can offer users a sense of immertion, interplay and enjoyment of the experience provide a way of extending and deepening the realm of scenery. It is also a new type of landscape that conforms to the trend of the times created in the background of the fast evolution of scientific and technical development. Virtual landscape brings new construction thinking and practical means for the application of digital city, the construction of urban context, and the development and utilization of relics. It provides an important research source for thinking about the relationship between current humanities and science, material and virtual, history and contemporary. After the research and experiment on the urban environment landscape design of PSO-BP neural network, the experimental data showed that before using the neural network method to improve Yanta East Garden, 57% of the crowd were satisfied with the overall impression of Yanta East Garden, and 17% were dissatisfied. After the improvement, 67% were satisfied with the landscape of Yanta East Garden, only 5% were dissatisfied, and the landscape satisfaction increased by 10%. The survey group believed that the landscape color of Yanta East Garden was full of historical flavor, especially the small sculptures convey the unique Qin Opera culture. The above data show that the method based on neural network is very suitable for the improvement and development of urban landscape design.
在过去几年中，随着神经网络领域如虚拟接待和增强现实等的快速发展，传统景观的实践和理论受到基于此类神经网络技术的虚拟景观的冲击和挑战。一方面，虚拟景观将景观设计的载体从物质现实世界转变为网络虚拟世界，这打破了传统的景观生成方式和结果表达方式。另一方面，虚拟景观本身的虚拟化和网络化形态特征及其能够为用户提供沉浸感、互动感和体验享受感的能力，为风景领域的拓展和深化提供了一种方式。它也是在科技快速发展的背景下顺应时代潮流而创造的一种新型景观。虚拟景观为数字城市应用、城市文脉构建以及遗迹开发利用带来了新的建设思路和实践手段。它为思考当前人文与科学、物质与虚拟、历史与当代之间的关系提供了重要的研究源泉。通过对PSO-BP神经网络城市环境景观设计进行研究和实验，实验数据表明，在使用神经网络方法对大雁塔东苑进行改进之前，57%的人群对大雁塔东苑的整体印象满意，17%不满意。改进后，67%的人对大雁塔东苑景观满意，只有5%不满意，景观满意度提高了10%。调查组认为大雁塔东苑的景观色彩充满历史韵味，尤其是小雕塑传达了独特的秦腔文化。上述数据表明基于神经网络的方法非常适合城市景观设计的改进和发展。
