Title :
A Network Intelligent Method Based on Cognition
Author :
Ren Baoquan ; Yin Hao
Author_Institution :
Commun. Command Inst., Wuhan, China
Abstract :
Studying against the lower utilization of the resources, deficiency of recombination in current networks, this paper proposes Network cognition and its basic architecture to improve the service abilities. Based on data mining and intelligence information control, the key technologies such as situation awareness, learning strategies, and multi-objective optimization are mainly discussed in details, which aim at networks states, users´ characters, and electromagnetism environment. On the base of this, the related research works and performance testing of the nodes in network are also presented.
Keywords :
cognition; data mining; electromagnetism; learning (artificial intelligence); optimisation; transport protocols; data mining; electromagnetism environment; intelligence information control; learning strategy; multiobjective optimization; network cognition; network intelligent method; network recombination deficiency; performance testing; resource utilization; service ability; situation awareness; Cognition; IP networks; Kalman filters; Neural networks; Nonlinear dynamical systems; Optimization; Spontaneous emission;
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
DOI :
10.1109/ITAP.2011.6006443
