Izvorni znanstveni članak

https://doi.org/10.17559/TV-20240802001898

Research on Reconstruction Factor Model of Old Residential Area Based on Multi-Modal Data Fusion

Zhaofeng Yu ; Human Resources Office, Shandong Second Medical University, Weifang, Shandong, 261053, China
Shuyang Yang ; China University of Mining and Technology (Beijing), Beijing, 100083, China
Chongbao Ren ; China Special Equipment Inspection & Research Institute, Beijing, 100029, China; China University of Mining and Technology (Beijing), Beijing, 100083, China
Xialing Sun ; School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China; China University of Mining and Technology (Beijing), Beijing, 100083, China; Shandong Nongyou Software Company Limited, Weihai, Shandong, 264209 China *

* Dopisni autor.

Sažetak

The green transformation of old residential areas is a major livelihood project and development project to promote urban renewal and meet the needs of the people for a better life, and an important way to realize the sustainable development of stock buildings. Firstly, in the transformation elements, an adaptive modal weight updating mechanism is designed to dynamically adjust the modal weights in the process of coclustering fusion, so as to meet the dynamic change requirements of the modal influence on the fusion results and improve the scalability of the algorithm. Secondly, the evaluation index system of comprehensive elements of green transformation in old residential areas is established and improved, and the attribute hierarchy model is used to determine the index weights. Finally, taking the reconstruction elements of old residential areas as the basic unit of matters-element extension theory, the multi-modal data fusion reconstruction element model is constructed, which provides a new perspective and new ideas for the formulation of old residential areas reconstruction plan.

Ključne riječi

comprehensive factor evaluation; data fusion; element model; multimodal; renovation of old residential areas

Hrčak ID:

325851

URI

https://hrcak.srce.hr/325851

Datum izdavanja:

31.12.2024.

Posjeta: 11 *