Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Artistic characterization of AI painting based on generative adversarial networks
Weiwei Lu
Weiwei Lu
School of Design, NingboTech University
Ningbo, China
Search for this author on
Sciendo
|
Google Scholar
Lu, Weiwei
,
Ruixing Qi
Ruixing Qi
Basic Teaching Department, Hebei Academy of Fine Arts
Shijiazhuang, China
Search for this author on
Sciendo
|
Google Scholar
Qi, Ruixing
and
Yuhui Li
Yuhui Li
School of Design, NingboTech University
Ningbo, China
Search for this author on
Sciendo
|
Google Scholar
Li, Yuhui
Jan 31, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jan 31, 2024
Received:
Dec 20, 2023
Accepted:
Dec 26, 2023
DOI:
https://doi.org/10.2478/amns-2024-0238
Keywords
Generative adversarial network
,
Convolutional neural network
,
Regression model
,
AI painting
© 2024 Weiwei Lu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
