Autors: VASSILEVA,S., MILEVA,S.
Title: Intelligent Software Analyzer Design for Biotechnological Processes
Keywords: intelligent software analyzers, intercellular metabolites, e

Abstract: 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 modern control technologies is discussed.

References

    Issue

    9th WSEAS International Conference on NEURAL NETWORKS (NN’08), pp. 142-147, 2008, Bulgaria,

    Вид: пленарен доклад в международен форум