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• W2351489095 abstract "Considering present soft sensor model research of sodium aluminate solution composition concentration,the multiple restrictive conditions solving thinking was presented to improve its soft-sensing precision and hit rate,and the soft-sensing mathematic model was established based on BP neural network.The sodium aluminate solution temperature and the component concentration were selected as the input nodes,and the corresponding electrical conductivity as the output node.Inverse mapping solution was achieved by combining organically the back-propagation principle and the weights values adjustment principle.Results show that the model can reflect the laws among electrical conductivity,composition concentration and temperature,and the average relative error of electrical conductivity at the generalization test is 1.74%;the relative error between the soft-sensing concentration and the real composition concentration is not more than 2.5%;the model is effective to soft measure the sodium aluminate solution compositon concentration waving in wider range,and thus the research lays a better foundation to achieve measure on-line in sodium aluminate solution." @default.
• W2351489095 created "2016-06-24" @default.
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• W2351489095 date "2008-01-01" @default.
• W2351489095 modified "2023-09-28" @default.
• W2351489095 title "Soft sensor model of sodium aluminate solution based on BP neural network with inverse mapping algorithm" @default.
• W2351489095 hasPublicationYear "2008" @default.
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