Research on the Application of AHP-ELM in Optical Fiber Communication Network
Zhu Bao-fen · Jiguang zazhi · 2015
Traffic prediction of fiber optic communication network is the basis of fiber optic technology application,in order to improve the network traffic prediction accuracy,an optical fiber communication network traffic prediction model by using hierarchical analysis and extreme learning machine is proposed in this paper. Firstly,the single prediction models are evaluated by analytic hierarchy process to find some optimal models,and then extreme learning machine is used to fit the optimal models and obtain the optimal fiber optic communication network traffic prediction results. The experimental results show that analytic hierarchy processes analyze prediction error and fitting degree which can improve prediction results,and obtain the high prediction accuracy of the network traffic.