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- W2099586596 abstract "Singular-value decomposition (SVD) is used to analyze the weight pattern of a back-propagation (BP) model for efficient classification of ECG waveforms. It is found that the rank of a matrix formed by all the weights, which can be determined by SVD of that matrix, is a good indicator of the number of hidden nets needed. The SVD is also used to analyze the relationship between the weight patterns and the learned features of the input patterns.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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- W2099586596 date "2003-01-13" @default.
- W2099586596 modified "2023-10-14" @default.
- W2099586596 title "A neural network weight pattern study with ECG pattern recognition" @default.
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- W2099586596 doi "https://doi.org/10.1109/iembs.1989.96576" @default.
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