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- W2078117189 abstract "All modern control theories require a sufficiently accurate model of the plant to be controlled. In the case of complex nonlinear models an alternative to identify the dynamics of the system is to use neural network methodology because there is no need to know in advance functional form of the model—it is determined simultaneously with model parameters. In the present paper two neutral network models of S. carsbergensis batch cultivation are proposed. From the obtained results it can be concluded that neural networks allow to reach higher accuracy of non-linear models. The possibility of adding internal memory in the model without raising the cost of identification makes neural networks very appropriate for modelling such complex non-linear systems as biotechnological processes." @default.
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- W2078117189 date "1994-01-01" @default.
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- W2078117189 title "Neural Network Models of S. Carlsbergensis Batch Cultivation" @default.
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- W2078117189 doi "https://doi.org/10.1080/13102818.1994.10818776" @default.
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