{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:16:05Z","timestamp":1740147365947,"version":"3.37.3"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:00:00Z","timestamp":1642809600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003172","name":"Henan University of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003172","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Multimedia"],"published-print":{"date-parts":[[2022,1,22]]},"abstract":"<jats:p>In order to effectively solve the problems of unreasonable design and low evaluation level in the process of fractal art pattern design and evaluation, a CAD fractal art pattern design and evaluation is proposed based on RBF network algorithm. Through the corresponding sequence sorting of RBF network algorithm, the image surface with the same CAD fractal art pattern design and evaluation attributes is divided into two parts. The main shape in the algorithm is mainly the node of feature tree. According to the later stage of image features, using high-level design basic knowledge and evaluation methods, RBF network algorithm is introduced into the process of original image design modification. Finally, the experimental results show that the algorithm used in this paper has certain advantages in CAD fractal art pattern design and evaluation.<\/jats:p>","DOI":"10.1155\/2022\/2736855","type":"journal-article","created":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T22:05:11Z","timestamp":1642889111000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["CAD Fractal Art Pattern Design and Evaluation Based on RBF Network Algorithm"],"prefix":"10.1155","volume":"2022","author":[{"given":"Lina","family":"Liu","sequence":"first","affiliation":[{"name":"School of Art & Design, Henan University of Science and Technology, Luoyang, 471000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3380-3462","authenticated-orcid":true,"given":"Danjun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Art & Design, Henan University of Science and Technology, Luoyang, 471000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-019-0431-x"},{"issue":"2","key":"2","first-page":"174","article-title":"Multi-person pose estimation via multi-layer fractal network and joints kinship pattern","volume":"10","author":"Y. 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