In order to improve the service stability of intelligent routing,and to meet the various network use needs of users.The research process uses the improved deep recursive deterministic strategy gradient algorithm to optimize the control layer of in-telligent routing.The improvement point is to introduce the bidirectional long and short-term memory network,and replace the fully connected neural network of the algorithm model,so as to improve its memory ability for periodic traffic.The optimized control layer can plan a more reasonable network route according to the user needs.After simulation test,the improved deep gradient algo-rithm of recurrent deterministic strategy is better than the similar algorithm in terms of average delay,network jitter and average packet loss rate.
关键词
改进DRDPG算法/计算机网络智能路由模型/路由优化
Key words
improving DRDPG algorithm/intelligent routing model of computer network/routing optimization
万方数据