【摘要】 提出了一种基于递归神经网络（ｒｅｃｕｒｒｅｎｔ ｎｅｕｒａｌｎｅｔｗ ｏｒｋ）的最短路算法， 降低了神经元之间的连接复杂度， 能稳定收敛到准最优解， 并将其应用于基于流量的动态分布式路由．仿真表明， 该算法收敛稳定更多还原

【Abstract】 A shortest path algorithm based on recurrent neural network (RSP) is proposed, which decreases complexity of connections among units, compared with Hopfield neural network. Simulations show that the algorithm converges to near optimal solutions steadily. While it can be applied to dynamic distributed routing algorithm based on flow.更多还原