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