Abstract

In order to improve the practical effect of intelligent prediction system, by analyzing and studying the characteristics of the traffic carried on the network, it can provide an effective way to explore the internal operating mechanism of the network. This paper takes the embedded wireless communication network as the research object to construct an intelligent predictive analysis system and applies the intelligent regression algorithm to the intelligent predictive analysis to construct an intelligent predictive analysis system. Finally, this paper verifies the system model of this paper through experimental research. The research results show that the intelligent predictive analysis system based on the embedded wireless communication network proposed in this paper is very effective and has a positive effect on the construction and development of the embedded wireless communication network.

Highlights

  • Traditional cables are no longer used when setting up a local area network but are connected wirelessly using infrared rays, radio waves, etc. as the transmission medium to provide all the functions of a wired local area network [1]

  • The networking mode of wireless local area network can be roughly divided into two types, one is adhoc mode, that is, point-to-point wireless network, and the other is infrastructure mode, that is, centralized control network [2]

  • Wireless instruments and equipment are arranged in the work site with an ad hoc network for mutual information transmission and remote wireless monitoring, which reduces the trouble and inconvenience of wiring, greatly improves industrial production efficiency and facilitates people’s lives [3]

Read more

Summary

Introduction

Wireless local area network is the product of the combination of computer network and wireless communication technology. Embedded system integration of wireless local area network technology to achieve wireless communication and data transmission will become a hot spot for future applications. By analyzing and studying the traffic characteristics carried on the network, combined with the embedded wireless communication network, the intelligent prediction and analysis system is constructed, the intelligent prediction and regression algorithm is improved, the operation effect of the intelligent prediction and analysis system is improved, and the practical effect of the intelligent prediction system is improved. This article takes the embedded wireless communication network as the research object to construct the intelligent predictive analysis system and verify and analyze its performance, which provides a theoretical reference for the further development of the subsequent wireless communication network technology

Related Work
Intelligent Predictive Regression Algorithm
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call