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

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 multise...
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Autor*in:	Guang Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Mathematical Problems in Engineering - Hindawi Limited, 2002, (2022)
Übergeordnetes Werk:	year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1155/2022/1295916

Katalog-ID:	DOAJ033387389

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callnumber-first	T - Technology
author	Guang Chen
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title	Visibility of Multisensor Digital Fusion Technology in Public Art Design under Complex Environments
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title_full	Visibility of Multisensor Digital Fusion Technology in Public Art Design under Complex Environments
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title_sort	visibility of multisensor digital fusion technology in public art design under complex environments
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title_auth	Visibility of Multisensor Digital Fusion Technology in Public Art Design under Complex Environments
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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Visibility of Multisensor Digital Fusion Technology in Public Art Design under Complex Environments
url	https://doi.org/10.1155/2022/1295916 https://doaj.org/article/2297f7c98d0c4a1896449c74319ced05 http://dx.doi.org/10.1155/2022/1295916 https://doaj.org/toc/1563-5147
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