Visibility of Multisensor Digital Fusion Technology in Public Art Design under Complex Environments

Guang Chen and Naeem Jan

Mathematical Problems in Engineering, 2022, vol. 2022, 1-11

Abstract: Application of multisensor digital fusion technology in public art design in complex environments is deliberated to make public art design develop better. First, the more advanced sensor fusion technology is introduced into public art design, and the basic principle and system composition of multisensor fusion technology are analysed. The application of multisensor fusion technology in the field of public art is deeply analysed from multiple angles. Second, the visibility algorithm in public art design based on a fuzzy neural network (FNN) is studied, and the corresponding model is proposed. Finally, the proposed model is tested. The test results show that the root mean squared error of the model is 0.0261, the network has a good fitting effect on the output value, the similarity between the model output value and the real value is high, the fitting effect is good, the model is accurate and effective, and the identification accuracy is achieved. Moreover, the corresponding example model is proposed. The visibility development level of public art design in a region in the next 14 years is predicted. The algorithm proposed provides some ideas for the application of multisensor digital fusion technology in public art design.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/mpe/2022/1295916.pdf (application/pdf)
http://downloads.hindawi.com/journals/mpe/2022/1295916.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1295916

DOI: 10.1155/2022/1295916

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().