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- W1813134873 abstract "The paper deals with neural modelling of dynamic processes. Attention is focused on processes characterised by non-measurable states and their modelling with nonlinear recurrent neural networks. A relationship is developed which, for such models, correlates the actual prediction error with the past ones." @default.
- W1813134873 created "2016-06-24" @default.
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- W1813134873 date "2002-11-22" @default.
- W1813134873 modified "2023-09-25" @default.
- W1813134873 title "Neural modelling of dynamic systems with non-measurable state variables" @default.
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- W1813134873 doi "https://doi.org/10.1109/imtc.1997.612371" @default.
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