The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design
In order to improve the effect of fractal art pattern design, this study combines RBF neural network algorithm to design and evaluate CAD fractal art pattern to improve the effect of fractal art pattern design. Moreover, this study proposes a dynamic weight-based NSC method. Because noise is ubiquit...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/7511630 |
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| _version_ | 1832554746749124608 |
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| author | Chunliang Pan Yuning Pan |
| author_facet | Chunliang Pan Yuning Pan |
| author_sort | Chunliang Pan |
| collection | DOAJ |
| description | In order to improve the effect of fractal art pattern design, this study combines RBF neural network algorithm to design and evaluate CAD fractal art pattern to improve the effect of fractal art pattern design. Moreover, this study proposes a dynamic weight-based NSC method. Because noise is ubiquitous in reality, the evolution of system dynamics often cannot be carried out strictly according to the iterative rules. In addition, this study shows the changing rules of the competition relationship and the distribution of competitors under the interference of noise. Finally, this study controls the style of the art pattern design in the spatial domain and uses the mask image pattern to disguise the art style. The experimental study shows that the CAD fractal art pattern design system based on the RBF neural network algorithm proposed in this study has a good effect on fractal art pattern design. |
| format | Article |
| id | doaj-art-0c66a68188b948a7aa4cd5462373b3ea |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-0c66a68188b948a7aa4cd5462373b3ea2025-02-03T05:50:37ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/7511630The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art DesignChunliang Pan0Yuning Pan1Weifang Engineering Vocational CollegeShanghai UniversityIn order to improve the effect of fractal art pattern design, this study combines RBF neural network algorithm to design and evaluate CAD fractal art pattern to improve the effect of fractal art pattern design. Moreover, this study proposes a dynamic weight-based NSC method. Because noise is ubiquitous in reality, the evolution of system dynamics often cannot be carried out strictly according to the iterative rules. In addition, this study shows the changing rules of the competition relationship and the distribution of competitors under the interference of noise. Finally, this study controls the style of the art pattern design in the spatial domain and uses the mask image pattern to disguise the art style. The experimental study shows that the CAD fractal art pattern design system based on the RBF neural network algorithm proposed in this study has a good effect on fractal art pattern design.http://dx.doi.org/10.1155/2022/7511630 |
| spellingShingle | Chunliang Pan Yuning Pan The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design Advances in Multimedia |
| title | The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design |
| title_full | The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design |
| title_fullStr | The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design |
| title_full_unstemmed | The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design |
| title_short | The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design |
| title_sort | promotion effect of computer aided technology combined with rbf neural network algorithm on art design |
| url | http://dx.doi.org/10.1155/2022/7511630 |
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