State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems

Currently, the network traffic control systems are mainly composed of the Internet core and wired/wireless heterogeneous backbone networks. Recently, these packet-switched systems are experiencing an explosive network traffic growth due to the rapid development of communication technologies. The exi...

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Bibliographic Details
Published in:IEEE Communications surveys and tutorials 2017-01, Vol.19 (4), p.2432-2455
Main Authors: Fadlullah, Zubair Md, Fengxiao Tang, Bomin Mao, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro
Format: Article
Language:English
Subjects:
artificial neural network
Biological neural networks
Case depth
Communications traffic
Computer architecture
Computer networks
Computer vision
Control systems
Core wire
Corporate profiles
deep belief system
Deep learning
Domains
Intelligent networks
Learning (artificial intelligence)
Machine intelligence
Machine learning
network traffic control
Robotics
Routing
Speech recognition
State-of-the-art reviews
Surveying
Switching theory
Traffic control
Wireless networks
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