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- W1958027982 abstract "The authors present a new neural network approach to the problem of least squares parameter estimation and identification in engineering applications. First, they define the fundamental estimation problems, which is reformulated into a form suitable for a neural network realization. After introducing the interconnected neural network architecture, the required inputs and the values of the connectivities among the processing elements are derived. A numerical example is presented to illustrate the detrimental effects of inevitable parameter variations and noise. >" @default.
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- W1958027982 date "2003-01-02" @default.
- W1958027982 modified "2023-09-26" @default.
- W1958027982 title "A neural network approach to least squares estimation" @default.
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- W1958027982 doi "https://doi.org/10.1109/mwscas.1992.271052" @default.
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