Computer network technique, which plays an important role in dealing with file, official document, can also be applied inside the enterprise, outside the network and in the globalized internet. As the computer network provides so much convenience, it also faces many safety loopholes, such as the bug, virus, etc. Therefore, establishing the evaluation system of computer network safety can realize the instantaneity and safety of the evaluation. Neural network which is the most widely used

more »

... gy in the evaluation of computer network safety is significant for the development of the computer network technology. This text discusses the neural network in the evaluation of computer network safety, analyzes the basic principle of neural network, the importance and application of neural network in the evaluation of the computer network safety. With the constant development of scientific technology, the continuous increase of the socioeconomic level, computer network technology has got new development. With the constant application of computer, more and more factors can threat the safety of the computers and they appear in various forms such as hacker, virus and system bug, etc. These comparably complicated factors are connected. There exist non-linear relations between the evaluation factor of computer network safety and the result. The traditional safety evaluation system is difficult to operate, so the relation between the factor and the safety evaluation cannot be discovered accurately, which makes the accuracy of the evaluation not high. Since the professional safety evaluation system requires a lot of knowledge, then the evaluation result can not be accurate, objective and scientific with no scientificity. The neural network, which is the self-adapted and non-linear dynamic system formed by the connection of different nerve cells, have the effect of calculation, adaptation, identification and controlling. Applying the neural network in the computer network reasonably can improve the scientificity and efficiency of the safety evaluation.