The paper deals with neural and hybrid modelling of the three main types of biotechnological processes – batch and fed-batch processes for the enzyme superoxide dismutase (SOD) production and continuous process of anaerobic digestion (AD) of organic wastes. Neural models for batch SOD production with and without dissolved oxygen regulation have been developed. A hybrid model for fed-batch process for SOD production and neural model for continuous AD process have been developed as well. The most appropriate network architecture in all cases is with one hidden layer with hyperbolic tangent activation function and output layer with linear activation function.
SOD production, anaerobic digestion, laboratory experiments, neural models, hybrid models
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