Efficient determination of optimal radial power system structure using hopfield neural network with constrained noise

IEEE Transactions on Power Delivery

Volumn 11, Issue 3, 1996, Pages 1529-1535

  Hayashi, Y ^a   Iwamoto, S ^b   Furuya, S ^c   Liu, C C ^d  

^a IBARAKI UNIVERSITY   (Japan)

^b WASEDA UNIVERSITY   (Japan)

^c TOKYO ELECTRIC POWER COMPANY   (Japan)

^d University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC FAULT CURRENTS; ELECTRIC SUBSTATIONS; KNOWLEDGE ENGINEERING; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING; SPURIOUS SIGNAL NOISE;

BRANCH AND BOUND METHOD; CONSTRAINED NOISE; HOPFIELD NEURAL NETWORK; RADIAL POWER SYSTEM;

ELECTRIC POWER SYSTEMS;

EID: 0030189968     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/61.517513     Document Type: Article

References (9)

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