基于AHP-BP算法的卫星通信网络性能评价

Dong Yanlei, Wan Chunting, Sun Chenhua, Lin Yusheng, Xue Qing
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引用次数: 1

摘要

随着卫星通信网络的广泛应用,合理评估卫星通信网络的效率具有重要意义。提出了一种基于AHP-BP算法的卫星通信网络运行评估方法。首先,利用层次分析法(AHP)对反向传播(BP)神经网络的数据进行标记,对卫星通信网络进行粗略、快速的评估,并导出训练数据集;然后,结合运行时数据和专家经验构建真实训练数据集。基于真实训练数据集,再次使用BP算法对模型进行再训练,对评价结果进行修正。仿真结果表明,AHP-BP算法具有较高的精度,适合于对卫星通信网络进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation for Satellite Communication Networks Based on AHP-BP Algorithm
With the wide application of satellite communication networks, it is of great significance to evaluate the efficiency of a satellite communication network rationally. This paper proposed an operational evaluation method for satellite communication networks based on AHP-BP algorithm. First, the satellite communication network is evaluated in a rough and fast way in which Analytic Hierarchy Process (AHP) is used to label the data for Back-Propagation (BP) neural networks, and the training data set is derived. Then, the real training data set is built by combining the runtime data and the experience of experts. BP algorithm is used again to retrain the model based on the real training data set for correcting the evaluation result. The simulation result indicates that the AHP-BP algorithm is suitable for evaluating the satellite communication networks with its high accuracy.
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