A fuzzy neural network sensor for fermentation processes

Abstract

In this paper computational intelligence has been considered as a tool (software sensor) in state- estimation and prediction of biomass concentration in a fermentation process. An optimised fuzzy system based on genetic algorithm, an artificial neural network and an integration of fuzzy logic and neural network paradigms have been introduced as computational engines. The constructed computational engine ‘infer’ the production of biomass from variables easily measured on-line. The construction and the application of each paradigm are presented and sum of squared errors and graphical fit are used to compare the performance of each structure.