Research on Intelligent Teaching System Based on Neural Networks

With the rapid development of artificial intelligence technology, intelligent teaching systems based on neural networks have gradually become a research hotspot in the field of education. This article explores the research status, key technologies, and application prospects of intelligent teaching systems based on neural networks through comprehensive literature research and analysis. Research has shown that intelligent teaching systems based on neural networks have enormous potential and advantages in personalized teaching, learning evaluation, and intelligent assisted teaching. However, there are still some challenges in the design and implementation of the system, such as data collection and processing, model construction and optimization, etc. Therefore, future research should further explore how to improve system performance, enhance user experience, and promote the development of intelligent education