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- W2348971803 abstract "Aiming to the BP network's flaws of low convergence speed and being ape to involve the local limit value, a weight algorithm of neural network optimized by genetic algorithm is given. Taking advantage of its accuracy and stability, the new algorithm identifies the inverse model of object online as the initial controller, and then cascades with object, fulfills a direct adaptive inverse control strategy of nonlinear system. On the condition of unknown features of object, the new algorithm uses BP network as the identifier to model the controlled object, adjusts the parameter of controller online with the identifying results. The outcome of simulation proves that the new algorithm can bring the effectual control to non-linear system." @default.
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- W2348971803 date "2009-01-01" @default.
- W2348971803 modified "2023-09-24" @default.
- W2348971803 title "Non-linear adaptive inverse control to neural network based on the genetic algorithm" @default.
- W2348971803 hasPublicationYear "2009" @default.
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