The paper conducted an in-depth research of urban distribution system’s resource integration process; It built the evaluation index system of this issue at the beginning. Later, it studied the normalization methods to these corresponding indicators. Then, it constructed the evaluation model of urban distribution system’s resource integration based on generalized regression neural network. At the end of this paper, it conducted a numerical experiment example and made certain conclusions. The innovation of this paper can be described as that the evaluation model constructed in this paper provides an effective and convenient way to evaluate the urban distribution system’s resource integration process.
목차
Abstract 1. Introductions 2. The Evaluation Index System of UDS’ Resource Integration 2.1. The construction principle of its evaluation index system 2.2. The design of its evaluation index system 2.3. The normalization methods of these indexes 3. The Evaluation Model Construction of UDS’ Resource Integration 4. Numerical experiments 4.1. Data initialization 4.2. Network parameters selection 4.3. Sample testing and experimental results analyzing 5. Conclusions Acknowledgements References
키워드
Generalized regression neural networkurban distribution systemresource integrationevaluation
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.4