Predicting nonlinear network traffic using fuzzy neural network

Predicting nonlinear network traffic using fuzzy neural network

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....

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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