Intelligent software analyzer design for biotechnological processes

This work presents a technology of artificial intelligence methods-based software analyzers design for biotechnological processes. The design of intelligent software analyzers of two hard-to measure intercellular metabolites, important in the early stage of brewing fermentation - ergosterol and glycogen, is demonstrated by implementing ANFIS and compare it with the artificial neural networks (ANN)-training techniques of Levenberg-Marquardt and Radial Basis Functions-NN (RBFNN). The application of intelligent software analyzers in modem control technologies is discussed.