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• W2073106559 abstract "This paper addresses feature extraction criterion function of multi-layer feed forward neural networks with linear output units and nonlinear hidden units. From the minimum mean square error function of the network output, the paper uses the nature of matrix trace and singular value decomposition, deduces the formula for calculating the nonlinear criterion function maximum, then explains the significance of this formula. Finally, simulation examples prove the correctness of the analytic style." @default.
• W2073106559 created "2016-06-24" @default.
• W2073106559 creator A5040539139 @default.
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• W2073106559 date "2010-05-01" @default.
• W2073106559 modified "2023-09-22" @default.
• W2073106559 title "Analysis of Feature Extraction Criterion Function Maximum in Nonlinear Multi-layer Feedforward Neural Networks for Pattern Recognition" @default.
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• W2073106559 doi "https://doi.org/10.1109/icicta.2010.193" @default.
• W2073106559 hasPublicationYear "2010" @default.
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