Modelling the Oxytetracycline Fermentation Process using Multi-layered Perceptrons

Abstract This paper illustrates how alternative neural network architectures were developed and applied to the modelling and estimation of the internal variables of the highly nonlinear oxytetracycline process. A wide range of results together with methodological considerations are provided.