Predicting nonlinear network traffic using fuzzy neural network

• Main Authors: WANG, Zhaoxia, HAO, Tingzhu, CHEN, Zengqiang, YUAN, Zhuzhi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2003
• Subjects: Back-propagation algorithms; Fuzzy neural network; Inertial terms; Traffic prediction; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5489; https://ink.library.smu.edu.sg/context/sis_research/article/6492/viewcontent/Predicting_nonlinear_network_traffic_fuzzyNeuralNetwork_ICICS03_av.pdf
• Institution: Singapore Management University

Network traffic is a complex and nonlinear process, which is significantly affected by immeasurable parameters and variables. This paper addresses the use of the five-layer fuzzy neural network (FNN) for predicting the nonlinear network traffic. The structure of this system is introduced in detail....