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- W2061816300 abstract "The problem of non-linear Single Input Single Output system identification in the presence of large errors in data is considered. Combining the capabilities of neural networks to solve non-linear problems by learning and a robust recursive prediction error learning rule based on the modelling of the errors, a new algorithm is drawn up. Its potentialities are illustrated through simulation studies." @default.
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- W2061816300 date "1997-01-01" @default.
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- W2061816300 title "Accommodation to outliers in identification of non linear SISO systems with neural networks" @default.
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- W2061816300 doi "https://doi.org/10.1016/0925-2312(95)00134-4" @default.
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