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- W2391384657 abstract "Backpropagation artificial neural network has been widely used in the field of process systems engineering. For a long time the BP network is trained by the GDR algorithm. But the network is limited in industrial application because of the much low convergent speed of the algorithm. In this paper, The Marquardt algorithm is presented and is incorporated into the backpropagation algorithm for training feedforward BP neural network. The new algorithm is tested on several function approximation problems and an industrial data fitting problem, and is compared with the GDR algorithm. It is found that the Marquardt algorithm takes a faster convergent speed and is much more efficient than the GDR algorithm." @default.
- W2391384657 created "2016-06-24" @default.
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- W2391384657 date "2001-01-01" @default.
- W2391384657 modified "2023-09-25" @default.
- W2391384657 title "Marquardt Algorithm and Development for Training BP Neural Network in Chemistry Processing Engineering" @default.
- W2391384657 hasPublicationYear "2001" @default.
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