Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence

In order to solve the declining influence of traditional cultural symbols, the research on traditional cultural symbols has become more meaningful. This article aims to study the application of traditional cultural symbols in art design under the background of artificial intelligence. In this paper,...

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Autor principal:	Cuifang Lin
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/2b2bbd5018c84194b903a80773c9d6b0
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id	oai:doaj.org-article:2b2bbd5018c84194b903a80773c9d6b0
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spelling	oai:doaj.org-article:2b2bbd5018c84194b903a80773c9d6b02021-11-08T02:36:57ZApplication of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence1563-514710.1155/2021/1258080https://doaj.org/article/2b2bbd5018c84194b903a80773c9d6b02021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1258080https://doaj.org/toc/1563-5147In order to solve the declining influence of traditional cultural symbols, the research on traditional cultural symbols has become more meaningful. This article aims to study the application of traditional cultural symbols in art design under the background of artificial intelligence. In this paper, a fractal model with self-combined nonlinear function changes is constructed. By combining nonlinear transformations and multiparameter adjustments, various types of fractal models can be automatically rendered. The convolutional neural network algorithm is used to extract the characteristics of the style picture, and it is compared with the trained picture many times to avoid the problem of excessive tendency of the image with improper weight. The improved L-BFGS algorithm is also used to optimize the loss of the traditional L-BFGS, which improves the quality of the generated pictures and reduces the noise of the chessboard. The experimental results in this paper show that the improved L-BFGS algorithm has the least loss and the shortest time in the time used for more than 500 s. Compared with the traditional AdaGrad method, its loss is reduced by about 62%; compared with the traditional AdaDelta method, its loss is reduced by 46%. Its loss is reduced by about 8% compared with the newly optimized Adam method, which is a great improvement.Cuifang LinHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Cuifang Lin Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
description	In order to solve the declining influence of traditional cultural symbols, the research on traditional cultural symbols has become more meaningful. This article aims to study the application of traditional cultural symbols in art design under the background of artificial intelligence. In this paper, a fractal model with self-combined nonlinear function changes is constructed. By combining nonlinear transformations and multiparameter adjustments, various types of fractal models can be automatically rendered. The convolutional neural network algorithm is used to extract the characteristics of the style picture, and it is compared with the trained picture many times to avoid the problem of excessive tendency of the image with improper weight. The improved L-BFGS algorithm is also used to optimize the loss of the traditional L-BFGS, which improves the quality of the generated pictures and reduces the noise of the chessboard. The experimental results in this paper show that the improved L-BFGS algorithm has the least loss and the shortest time in the time used for more than 500 s. Compared with the traditional AdaGrad method, its loss is reduced by about 62%; compared with the traditional AdaDelta method, its loss is reduced by 46%. Its loss is reduced by about 8% compared with the newly optimized Adam method, which is a great improvement.
format	article
author	Cuifang Lin
author_facet	Cuifang Lin
author_sort	Cuifang Lin
title	Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
title_short	Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
title_full	Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
title_fullStr	Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
title_full_unstemmed	Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
title_sort	application of traditional cultural symbols in art design under the background of artificial intelligence
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/2b2bbd5018c84194b903a80773c9d6b0
work_keys_str_mv	AT cuifanglin applicationoftraditionalculturalsymbolsinartdesignunderthebackgroundofartificialintelligence
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Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence

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