Author(s)

Bin Chen

Corresponding Author

Bin Chen

Abstract

With the continuous growth of social economy in China, our computer network technology has also made great progress. The development of computer networks is not only limited to meet people's daily needs, but also needs to continuously improve the overall performance of computer networks. The performance of computer network is mainly optimized by computer network model. Because the computer network model can store distributed information, and has the function of scale and associative memory. Therefore, this paper studies and analyzes the network neural algorithm in the computer network model to improve the overall performance of the computer network. Computer network is an important manifestation of the progress and success of people's scientific research achievements. Nowadays, computer network technology is applied in education, work and scientific research, which provides people with a lot of convenience. Most of the network service periods now use a hub-type network to effectively implement network interconnection. This is an advancement in computer network technology, but at the same time, it is also an obstacle to the further development of computer networks. Network interconnection has greatly increased the content of computer networks, but now there is an imbalance between the development of multimedia information technology and the power of network. The neural network algorithm is a mature algorithm in the computer network model. Therefore, it is necessary to continue to analyze the neural network algorithm, and optimize the overall performance of the computer network continuously to enable the computer network to deal with larger scale and more complex content.

Keywords

Computer network model; Neural network algorithm; Optimization