Art Design Teaching Based on the Multidata Fusion Algorithm and Virtual Simulation Technology

Virtual Reality (VR) technologies are widely applied to teaching art design. VR has been created with high-level techniques that create the artificial environment to support virtual aesthetics. Especially ceramics art design requires technical advancement to enhance business individuals. However, the user requires the virtual reality experience to improve the art design teaching performance. During the teaching process, reality learning patterns, experiences, and fusion ceramic product design are required to enhance art design teaching. So, in this research, modern art design has been optimized using virtual reality with a deep learning architecture for craftsmanship, style, ideals, creative aesthetics, cultural ramifications, and inherited designers to create an effective model. The deep learning-assisted gate array algorithm (GAA) is used to optimize the modern art structure in system design. Therefore, this approach reveals some experimental findings that produce better performance benefits than saving time and resources in traditional manual detection systems.