Application of optical network transmission based on machine learning and wireless sensor networks in artificial intelligence online education system

The traditional network transmission mode faces challenges in the real-time and reliability of teaching resources, especially in the environment of Internet of Things and wireless network. With the rapid development of artificial intelligence technology, this paper aims to study the application of optical network transmission technology based on machine learning and wireless network in artificial intelligence online education system, so as to improve the transmission efficiency of educational information and user experience, and promote the learning effect. In this paper, machine learning algorithm is used to analyze and optimize data flow in wireless and mobile networks in real time. Meanwhile, high speed and low latency of optical networks are utilized for data transmission. By building experimental models and testing them in real educational Settings, we evaluate the performance of the system under various network conditions. The experimental results show that the online education system combined with machine learning and wireless optical network transmission is significantly better than the traditional methods in terms of data transmission speed, delay and stability. Especially in the high concurrent user environment, the system can effectively reduce the data packet loss rate and improve the learning experience of users.