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- W2387859946 abstract "In order to overcome defects existing in some aspects of network structure design and convergence effect in traditional methods of neural network forecast,a new algorithm,that is artificial immunization algorithm,was proposed to make prediction of eletric system load.This algorithm is designed according to the mechanism of immunization system of advanced animals,which regards objective function and part of inequaltiy constraint condition as antigen,and consider the solution of searching space as antibody.Based on bonding force between antigen and antibody and among antibodies,the solution was chosen;by motivate inter-action among antibodies the searching efficiency near optimal point was improved;and by memerizing the depression of cell to antibodies regional optimal point can be gottenrid of effectively.This model was applied to load forecast practice in Fuxin region,which shows that compared with traditional forecast methods of neural network this model has more powerful self-adaptive ability and better effects." @default.
- W2387859946 created "2016-06-24" @default.
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- W2387859946 date "2006-01-01" @default.
- W2387859946 modified "2023-09-28" @default.
- W2387859946 title "Electrical network load forecast model research based on artificial immunization algorithm" @default.
- W2387859946 hasPublicationYear "2006" @default.
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