The paper presents a comparison of the biotechnological process prediction and optimization results obtained by using different structure hybrid mathematical models for modeling of the same bioprocess. The hybrid models under investigation consist of the product mass balance equation in which different means - an artificial neural network, fuzzy-neural network and cell age distribution based calculation scheme - are incorporated for modeling the specific biosynthesis rate of a desired product. Experimental data from alpha -amylase laboratory and industrial fermentation processes are used for model parameter identification and the process prediction tests.
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