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- W170513470 abstract "Based on the analysis of the back propagation (BP) algorithm, the application limitation of BP neural network mean square error (MSE) used in outlier removal is pointed out. An adaptive error performance function (AE) is proposed, and it is integrated into Levenberg-Marquardt algorithm (LM). Simulation results show that the three layer BP neural network model trained by the method have a certain ability of recognition for outlier with isolated type and spotted type, not knowing the theoretical true value." @default.
- W170513470 created "2016-06-24" @default.
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- W170513470 date "2012-01-01" @default.
- W170513470 modified "2023-09-26" @default.
- W170513470 title "A Modal for Outlier Removal by MLBP Neural Network Based on Adaptive Performance Function" @default.
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- W170513470 doi "https://doi.org/10.1007/978-3-642-31968-6_79" @default.
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