SCOPUS 정보 검색 플랫폼

Journal of Computational and Applied Mathematics

Volumn 219, Issue 1, 2008, Pages 216-222

New convergence behavior of high-order hopfield neural networks with time-varying coefficients

(4) Yi, Xuejun a Shao, Jianying b Yu, Yuehua c Xiao, Bing c

a HUNAN UNIVERSITY (China)

b JIAXING UNIVERSITY (China)

c HUNAN UNIVERSITY OF ARTS AND SCIENCE (China)

Author keywords

Convergence; Delays; High order Hopfield neural networks; Time varying coefficients

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; HOPFIELD NEURAL NETWORKS; METROPOLITAN AREA NETWORKS; NETWORK PROTOCOLS; TIME VARYING NETWORKS; TIME VARYING SYSTEMS;

CONVERGENCE BEHAVIORS; ELSEVIER (CO); HIGH ORDER; HOPFIELD; SUFFICIENT CONDITIONS (SC); TIME VARYING COEFFICIENTS; ZERO POINT;

NEURAL NETWORKS;

EID: 45449118684 PISSN: 03770427 EISSN: None Source Type: Journal
DOI: 10.1016/j.cam.2007.07.011 Document Type: Article

Times cited : (19)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.