Design of Virtual Reality System for Public Security Training Based on Neural Network

This paper proposes a design scheme for a virtual reality (VR) system based on neural networks, aiming to enhance the effectiveness and instructional quality of public security training. The system utilizes VR technology to create highly immersive training environments, enabling trainees to experience realistic simulations in a safe, controlled setting. By integrating neural network algorithms, the system provides real-time analysis and feedback on trainee behaviors, improving the level of personalization and intelligence in training. Experimental results indicate the system significantly enhances abilities. It enhances emergency response abilities among public security personnel. It also strengthens their psychological resilience. Moreover, it improves their practical skills. This system offers an innovative solution for education and field training in public security.