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<https://khub.utp.edu.my/scholars/id/eprint/4777> <http://purl.org/ontology/bibo/abstract> "In this paper the combination of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters-Auto regressive with exogenous input (OBFARX) and a nonlinear neural network (NN) models is developed. The model performance is then compared against previously developed parallel OBF-NN model in a nonlinear CSTR case study in extended regions of operation (i.e. extrapolation capability). Â© 2014 Trans Tech Publications, Switzerland."^^<http://www.w3.org/2001/XMLSchema#string> .
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