Joana Peres

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Keywords: Hybrid modeling Dynamic modeling Nonlinear partial least square (nonlinear projection to latent structures) Artificial neural networks Bordetella pertussis a b s t r a c t This paper presents a method for the identification of nonlinear partial least square (NPLS) models embedded in macroscopic material balance equations with application to(More)
BACKGROUND This paper presents a method for modelling dynamical biochemical networks with intrinsic time delays. Since the fundamental mechanisms leading to such delays are many times unknown, non conventional modelling approaches become necessary. Herein, a hybrid semi-parametric identification methodology is proposed in which discrete time series are(More)
Keywords: Dynamic neural networks Hybrid semi-parametric modeling Numerical integration Ordinary differential equations Differential equations a b s t r a c t The Ordinary Differential Equations (ODEs) of dynamic models that are used in process monitoring, control or optimization, are not only functions of time and states, but also of measured variables. So(More)
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