Neural Network Audience Analysis and CAD-Based Teaching for Intangible Cultural Heritage Dance

This study focuses on the integration of artificial intelligence and computer-aided design (CAD) in preserving and teaching Hebei's intangible cultural heritage, in particular, folk dance. It uses neural network algorithms to analyze audience engagement with Hebei's dance culture, using natural language processing to assess public response and emotional connections through big data. It also explores how CAD technology can create interactive, 3D-based teaching tools, including flipped classrooms and instructional dance videos. The findings demonstrate that neural network–driven audience analysis yields accurate insights into public interest, and CAD-enhanced teaching methods significantly improve learning efficiency and cultural preservation efforts. This study offers an innovative approach to combining artificial intelligence, cultural heritage, and education.