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- W2369929557 abstract "An intelligent diagnosis method based on integrate genetic algorithm(GA) and BP Neural Networks is adopted in this paper to diagnose the malfunction of the analog circuit.The original weights and biases set by the traditional BP NN are took place by the optimized data set by GA,and then the network is trained by advanced BP algorithm.After comparing simulation results,we can find that the train epochs of GA optimized BP NN decreased a lot.Many disadvantages of tradi-tional BP NN such as low convergence speed,easy to fall into the local minimum points are overcome by using GA-BP." @default.
- W2369929557 created "2016-06-24" @default.
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- W2369929557 date "2009-01-01" @default.
- W2369929557 modified "2023-09-27" @default.
- W2369929557 title "Genetic Algorithm(GA) Optimized Neural Networks for Analog Circuit Fault Diagnosis" @default.
- W2369929557 hasPublicationYear "2009" @default.
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