서지주요정보
신경회로망에 의한 비동기식전송모드 교환기의 호 수락제어 = An application of neural networks to ATM connection admission control
서명 / 저자 신경회로망에 의한 비동기식전송모드 교환기의 호 수락제어 = An application of neural networks to ATM connection admission control / 강상혁.
저자명 강상혁 ; Kang, Sang-Hyuk
발행사항 [대전 : 한국과학기술원, 1992].
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등록번호

8003039

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 92003

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초록정보

Asynchronous Transfer Mode(ATM) switching networks should support a large variety of services with different traffic characteristics and quality of services. However, it is very difficult to control traffic requirements by conventional mechanisms in this complex traffic environment. As an alternative approach, a multi-layer perceptron neural network model is proposed in this study as an intelligent control mechanism like a traffic control policeman" in order to perform ATM connection admission control. The burstiness, the number of connected calls, and the utilization are input variables to neural nodes and the cell loss rate is assigned to output variables. A learning mechanism based on "quantized" data table is also proposed. The proposed neural control model is analyzed by simulations in homogeneous and heterogeneous traffic environments and this simulation result shows the effectiveness of the control mechanism, compared with the results of analytical method and Hiramatsu's neural control model. This study can be further extended to applying the neural controls to other ATM traffic control mechanisms."

서지기타정보

서지기타정보
청구기호 {MEE 92003
형태사항 v, 55 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Sang-Hyuk Kang
지도교수의 한글표기 : 성단근
지도교수의 영문표기 : Dan-Kuen Sung
학위논문 학위논문(석사) - 한국과학기술원 : 전기 및 전자공학과,
서지주기 참고문헌 : p. 52-54
주제 Asynchronous transfer mode.
Telecommunication --Traffic.
신경 회로망. --과학기술용어시소러스
통합 통신망. --과학기술용어시소러스
트래픽 감시. --과학기술용어시소러스
교환 시스템. --과학기술용어시소러스
다원 접속 통신. --과학기술용어시소러스
Neural networks (Computer science)
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