摘要
对复杂网络交流信息传输正确性的识别,能够有效提高网络应用程序的稳定性。对信息传输正确性识别,需要估计统计概率模型,计算识别结果并取平均值,完成应用程序中信息传输正确性的识别。传统方法首先识别信息传输类型,提取信息传输特征,但忽略了计算识别结果并取其平均值,导致识别精度低。提出复杂网络交流信息传输正确性识别方法。将信息传输正确性先验分布并选择,将选择问题转换为置信度问题进行求解,估计概率模型,计算识别结果取平均值,实现复杂网络交流信息传输正确性的识别。实验结果表明,所提方法能够有效提高复杂网络的稳定性。
The traditional method ignores the calculation of recognition result and average value, which leads to low recognition accuracy. This paper proposes a method for identifying the transmission correctness of communication information in eomplex networks. Firstly, this method carries prior distribution for correctness of information transmission and selection. Secondly, the selection problem is converted into the reliability problem for the solution, and the probability model is estimated, then the recognition result is calculated and the average value is obtained. Finally, the recognition of correctness for complex network communication information transmission is realized. Simulation results show that the proposed method can effectively improve the stability of complex network.
出处
《计算机仿真》
北大核心
2017年第12期393-397,共5页
Computer Simulation
关键词
复杂网络
信息传输
正确性识别
Complex network
Information transmission
Correctness identification
