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- W1966245636 abstract "Abstract We propose a case-based approach for modeling nonlinear systems. Our method is a model-free approach which does not depend on any specific model structure. Given an input to a system, our method predicts the output by interpolating the outputs in the “similar” cases whose inputs are close to the given input. The similarity degree and coefficients used in interpolation are determined from the data in a context-dependent manner. We also propose a method to extract cases from a database to meet the specification on the prediction accuracy. Finally, applications to nonlinear dynamical systems are discussed." @default.
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- W1966245636 date "1996-01-01" @default.
- W1966245636 modified "2023-09-27" @default.
- W1966245636 title "A case-based approach for modeling nonlinear systems" @default.
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- W1966245636 doi "https://doi.org/10.1016/0165-0114(95)00125-5" @default.
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