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- W2392927604 abstract "Using neural network can establish the model of aluminum electrolysis.That can solve the problem of aluminum electrolysis process modeling by using regular method.This paper presents aluminum electrolysis process modeling method by using partial recurrent neural network(Elman neural network) and time delay neural network(BP neural network with time delay unit) respectively.The identification results which obtained by Elman neural network and TDBP neuralnetwork are compared.The results show the Elman neural network can trace the aluminum electrolysis process better than the time delay neural network.And the Elman neural network has simple strcture and little error of identification." @default.
- W2392927604 created "2016-06-24" @default.
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- W2392927604 date "2007-01-01" @default.
- W2392927604 modified "2023-09-23" @default.
- W2392927604 title "Modeling Research of Neural Network Based on Aluminum Electrolysis" @default.
- W2392927604 hasPublicationYear "2007" @default.
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