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- W2371759092 abstract "Due to the strong self-learning and self-adaptive ability of BP neural networks,it can be used to solve the problems that existing in traditional PID controller parameters tuning methods.In order to accelerate the convergence speed of BP neural network and prevent it from falling into local minimum point,the particle swarm optimization algorithm is proposed to optimize the connection weight matrix of BP neural networks.At last,detailed steps and flow chart of the proposed method are given and the simulation results demonstrated that the control quality of the proposed method is superior to the conventional methods." @default.
- W2371759092 created "2016-06-24" @default.
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- W2371759092 date "2012-01-01" @default.
- W2371759092 modified "2023-09-28" @default.
- W2371759092 title "PID controller parameters optimization based on PSO-BP neural networks" @default.
- W2371759092 hasPublicationYear "2012" @default.
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