基于PSO-BP神经网络的城市虚拟环境景观设计和系统
Yating Liu1, Lingyan Fan2, Lan Wang2
1Sanda University, Shanghai, 201209, China. s1250732@stu.cpu.edu.cn.
Scientific reports
|June 14, 2024
概括
神经网络通过转换虚拟景观来增强城市景观设计. 这项技术改进了Yanta东方花园的技术.
科学领域:
- 计算机科学 计算机科学
- 城市规划 城市规划
- 数字艺术 数字艺术 数字艺术
背景情况:
- 传统的景观设计受到神经网络驱动的虚拟景观的挑战.
- 虚拟景观将设计从物理领域转移到数字领域,改变了创作和表达方法.
- 虚拟景观的沉浸式和交互性质为景观体验提供了新的可能性.
研究的目的:
- 研究神经网络技术对传统景观设计的影响.
- 探索虚拟景观在城市发展和文化遗产中的潜力.
- 评估PSO-BP神经网络在改善城市环境景观设计方面的有效性.
主要方法:
- 利用PSO-BP神经网络进行城市环境景观设计.
- 进行关于景观改善的实验研究和数据分析.
- 在设计干预之前和之后使用用户满意度调查.
主要成果:
- 在神经网络应用之前,57%的人对Yanta East Garden感到满意,17%的人对它不满意.
- 在改善后,满意度上升至67%,只有5%的不满意度,增加了10%.
- 用户反强调了通过景观元素改善历史氛围和文化表达.
结论:
- 基于神经网络的方法非常适合城市景观设计的增强.
- 虚拟景观为数字城市和遗产遗址提供了创新的方法.
- 这项研究弥合了数字技术,城市规划和文化保护之间的差距.
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