Context-oriented design of the historical urban environment using neural networks

This article explores the possibilities of using neural networks in the process of designing the reconstruction of a historical urban environment. When renovating historical areas, there is often a challenge to maintain a balance between preserving authenticity and meeting modern requirements for comfortable urban spaces. The article discusses the context-based approach to design and its evolution with the advent of artificial intelligence technology. The authors present a review and analysis of open neural networks for practical application in the field of designing the improvement of historical places, highlighting promising approaches and tools, and assessing the advantages and limitations of the neural networks considered. In conclusion, the importance of modern technologies such as neural networks for preserving and enriching cultural heritage is emphasized, as well as their role in creating more sustainable and harmonious urban environments.