@article{2806,
  author = {Xue-rui WANG, Yan ZHOU},
  title = {Study on the Application of Neural Network in the Computer Network Security Evaluation},
  journal = {Journal of Intelligent Computing},
  year = {2019},
  volume = {10},
  number = {3},
  doi = {https://doi.org/10.6025/jic/2019/10/3/97-101},
  url = {http://www.dline.info/jic/fulltext/v10n3/jicv10n3_3.pdf},
  abstract = {Research computer network security problem. There were nonlinear relations among the evaluation indexes, and it was difficult for an accurate mathematical model to describe the nonlinear relationship. In order to improve the evaluation accuracy of computer network security, this study put forward a combination model to evaluate the computer network security. The combination model used particle swarm optimization (PSO) to optimize the parameters of BP neural network, speed up the BP neural network’s convergence speed, and enhanced its global optimization ability, which effectively improved the accuracy of the evaluation model. Simulation results showed that compared with traditional BP neural network model, the combined model’s learning ability was faster and global search ability was stronger, which effectively improved the evaluation accuracy of computer network security.},
}