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光纤通信网络流量预测是光纤通信网络技术应用的基础工作,为了提高光纤通信网络流量的预测精度,提出一种层次分析法和极限学习机的光纤通信网络流量预测模型(AHP-ELM)。首先采用层次分析法对多个单一模型进行评价,选择几个最优模型,然后采用极限学习机对最优模型进行拟合,输出最优光纤通信网络流量的预测结果,实验结果表明,AHP-ELM通过层次分析法对预测误差和拟合度等进行评价,预测结果可加可信,获得了较高的光纤通信网络流量预测精度。
The traffic prediction of optical fiber communication network is the basic work of optical fiber communication network technology application. In order to improve the prediction accuracy of optical fiber communication network traffic, an Analytic Hierarchy Process (AHP) and Extreme Learning Machine (IPP) network traffic prediction model (AHP-ELM) is proposed. Firstly, AHP is used to evaluate multiple single models, several optimal models are selected, and then the optimal model is fitted by using extreme learning machine, and the prediction of the optimal optical fiber communication network traffic is output. The experimental results show that AHP- The ELM evaluates the prediction error and the fitting degree through the analytic hierarchy process. The prediction result can be credible and the accuracy of the traffic prediction of the optical fiber communication network is high.