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- W1935330430 abstract "This paper investigates the sensitivity of neural models to weights perturbation in a system identification task. Analytical expression for sensitivity is derived from a notation based on Kronecker product and vector valued function of matrix. Experimental results highlight this sensitivity measure when investigating model structure. A comparison with statistical sensitivity results confirms usefulness of our approach. Search for minimum output sensitivity appears to be a nice indicator for proper model order choice. >" @default.
- W1935330430 created "2016-06-24" @default.
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- W1935330430 date "2002-12-17" @default.
- W1935330430 modified "2023-09-24" @default.
- W1935330430 title "Sensitivity analysis of neural models" @default.
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- W1935330430 doi "https://doi.org/10.1109/icsmc.1994.400055" @default.
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