Creative and Experimental Design of Artwork Based on Artificial Neural Network Algorithm and Internet of Things

Art creativity and experimental design are fields full of creativity and exploration, and traditional design methods are often limited by the personal abilities and experiences of designers. Therefore, introducing artificial intelligence (AI) algorithms can help designers better explore creativity and improve design efficiency. This article investigates the application of artificial neural networks (ANN) and the Internet of Things (IoT) in computer-aided artwork creativity and experimental design. By analyzing and learning a large amount of artwork data, the creative patterns and features of artwork are extracted, providing creative suggestions and optimization solutions for artists. The results indicate that the art creation computer-aided design (CAD) system constructed in this article has strong interactive capabilities and a good user experience. Meanwhile, ANN has significant advantages in image processing time compared to Support Vector Machine (SVM). This system can be applied to creative design, experimental creation, and image processing of artworks, providing more efficient and intelligent auxiliary tools for artists and designers. © 2024 U-turn Press LLC,