| Summary: | 碩士 === 南台科技大學 === 工業管理研究所 === 99 === Among the fields with high development potential, biotechnology is the most promising one. Biotechnology is a technology utilizing biology in a variety of fields, such as human medicine, environment, agriculture, etc. Traditional fermentation technology using microorganism to ferment foods has become a global trend now. Many developed countries have been actively devoting themselves to biotechnology research and developing related biotechnology industries. Biotechnology has the following characteristics: high technical barrier, high return rate, long payback period and high profits. Thus, it has become a popular investment target for the industries and investors.
Variables of cultivation conditions affecting mass production of brewers yeast are
numerous and complicated. To obtain the expected quality characteristics, manufacturers have to depend on experienced researchers and on-site technician. This study utilizes regression analysis to provide the best formula for cultivating brewers yeast to meet the requirement on quality characteristics.
This study aims at manufacturing process of brewers yeast, utilizing regression
analysis to figure out key factors and prediction pattern affecting bulk density of the media and important variables (e.g. carbon source, nitrogen source and trace elements). We use genetic algorithm to obtain the best parameters. And then we use regression analysis and genetic algorithm combining with artificial neural network to solve the problem on optimization of quality characteristics. Finally, we utilize actual production to verify the effectiveness of the model conditions.
Keywords：Regression Analysis, Genetic Algorithm, Artificial Neural Network
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