A Trial Multilayer Perceptron Neural Network for ATM Connection Admission Control (Special Issue on Broadband ISDN : Application, Networking and Management)
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概要
- 論文の詳細を見る
Future broadband ATM networks are expected to accommodate various kinds of multi-media services with different traffic characteristics and quality of service (QOS) requirements. However, it is very difficult to control traffic by conventional mechanisms in this complex traffic environment. As an alternative approach, a multilayer perceptron neural network model is proposed as an intelligent control mechanism like "a traffic control policeman" in order to perform ATM connection admission control. This proposed neural control model is analyzed by computer simulations in a homogeneous and heterogeneous traffic environment and the result shows the effectiveness of this intelligent control mechanism, compared with that of an analytical method.
- 社団法人電子情報通信学会の論文
- 1993-03-25
著者
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KANG Sang
Department of Electrical and Computer Engineering, University of Seoul
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Sung D
Korea Advanced Inst. Of Sci. & Technol. (kaist) Kor
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Kang S
Korea Advanced Inst. Sci.&technol. Taejon Kor
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Kang Sang
Department Of Electrical And Computer Engineering University Of Seoul
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Sung DanKeun
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology
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Kang Sang
Department Of Anatomy And Neurobiology Institute Of Health Science College Of Medicine Gyeongsang Na
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