Emily Rolfe*  <i>Great Circles: The Transits of Mathematics and Poetry</i>

Bendegem, Jean Paul Van; Kerkhove, Bart Van

doi:10.1093/philmat/nkaa030

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Literature [26] analyzes the importance of aesthetic attributes to enhance the value of enterprises and uses Lampley's statement that "all communication is rhetorical" to show that aesthetic styles will be combined with social forces, which will make aesthetic attributes better help enterprises enhance their social value. Literature [27] suggests that the combination of math and art can enhance aesthetic reflection and improve the integration of artistic components and elements to promote the further development of art and culture.…”

Section: ) Dissemination Of Arts and Crafts Culturementioning

confidence: 99%

Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture

Zhang,

Cao,

2023

Applied Mathematics and Nonlinear Sciences

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This paper takes the integration development path of artificial intelligence technology and clothing design as the entry point, analyzes the influence of arts and crafts culture on clothing design, and gives the correlation between artificial intelligence, clothing design and arts and crafts culture. In order to make the style and color of clothing design more diversified, Fuzzy C-means is used to extract the color of the elements of arts and crafts culture, and adaptive optimization is used to compensate for the chromaticity of the color through artificial intelligence technology. A texture generation network is constructed based on the generative adversarial network to obtain the shape and texture style of the images of arts and crafts cultural elements in apparel design. To verify the effectiveness of the above method in spreading apparel design and arts and crafts culture, experimental validation analysis was conducted. The results show that the Fuzzy C-means algorithm improves PSNR by an average of 1.094 dB and SSIM by between 1.1% and 2.5% compared with the SVD-Means feature color extraction algorithm. The error before and after the adaptive optimization color compensation of artificial intelligence technology is only about 0.2%, and the MSE value of the texture generation network is between [1.5*10-3,3*10-3], and the error of its image generation quality is not more than 1‰. Based on artificial intelligence technology, it can fully obtain the elemental patterns and colors of arts and crafts culture and then innovate the style and shape of clothing design, which can also promote the dissemination and development of arts and crafts culture.

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Section: ) Dissemination Of Arts and Crafts Culturementioning

confidence: 99%

Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture

Zhang,

Cao,

2023

Applied Mathematics and Nonlinear Sciences

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“…It requires not only the hard work and experience accumulation of familiarizing with the 300 poems of Tang Dynasty, but also unusual talent and inspiration [6][7][8]. It is also a good way to learn and explore the rules and characteristics contained in a large number of classical Chinese poems through machines so as to create poetic works that can better express the emotions of the people [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Integration Interpretation of Civics and Family Poetry Culture in University Language Programs Based on Deep Learning Models

Cai

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, firstly, we start from the imagery in the poem, excavate the resources of the ideology and politics in the university language poetry, and put forward the feasible path of the integration of the ideology and politics of the university language course and the poetry culture of the family training. The research on poetry culture in university language is conducted using a deep learning model. Based on the deep learning model, keywords in the poetry text are extracted and extended, taking into account the issue of word splitting and lexical annotation. The sequence coding of word vectors is needed so as to construct a poetry generation model based on RNNPG, and then the research and analysis on the concept of ideology and politics of the poetry culture in the university language are carried out. The results show that in terms of model performance, the RNNPG model is 1.17 overall, and the overall generation effect is more ideal compared to other single discriminator generation models. The acceptance level of sophomores is generally above 0.29, which is better than that of freshmen, and the teaching of ancient poems under the perspective of “curriculum politics” is especially necessary to improve their cultural taste and aesthetic interest. This study is conducive to the personalized development of students and the formation of correct concepts.

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Emily Rolfe* Great Circles: The Transits of Mathematics and Poetry

Cited by 2 publications

References 7 publications

Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture

Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture

Analyzing the Integration Interpretation of Civics and Family Poetry Culture in University Language Programs Based on Deep Learning Models

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