document: Application of hybrid models for prediction and optimization of enzyme fermentation process . A comparative study 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
doc_bio_tags: O O B I O O O B O B I O O O O O O O O O O O O O O O O B O O O O O O O B I O O O O O B O O B I O O O O O B I I I O O O O O O O O O O O O O B I I O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O B O O O O O
extractive_keyphrases: mathematical models bioprocess hybrid models product mass balance equation cell age distribution biosynthesis rate enzyme fermentation optimization identification
abstractive_keyphrases: fuzzy-neural network industrial processes