Title :
A Intelligent Prediction Model of Network Traffic
Author :
Liu, Enhai ; Liu, Yan ; Pan, Ruimin
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
According to the previous experience, the BP neural network have been holding the leading position in the forecast ability and the study precision. However, the running rate and the skilled speed are too slow to solve the smallest region issues, so Simulation Annealing is introduced in the article. It means that Simulation Annealing-BP neural network is used to the intelligent prediction model and predict the network traffic. It can be seen the efficiency and the precise degree of Simulation Annealing-BP neural network have been enhanced than that of basic BP algorithm through simulation.
Keywords :
backpropagation; computer networks; neural nets; prediction theory; simulated annealing; telecommunication traffic; BP neural network; intelligent prediction model; network traffic; running rate; simulation annealing; skilled speed; Artificial neural networks; Computational modeling; Prediction algorithms; Predictive models; Process control; Simulated annealing; Training;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566227
