Classification of Fermentation Performance by Multivariate Analysis Based on Mean Hypothesis Testing
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概要
- 論文の詳細を見る
Multivariate analysis, such as principal component analysis and artificial autoassociative neural networks, is currently extensively applied to feature capturing, physiological state recognition, fault detection and bioprocess control. However, it is not clear which process variable should be selected as an important input for multivariate analysis to analyze physiological conditions and/or bioprocess performance a priori. An efficacious method to select more informative process variables from the repository of historical data is highly desired. In this study, we focused on a premodeling step. Mean hypothesis testing (MHT) was used to select appropriate variables for multivariate analysis. Fermentation data sets were classified into two classes "good" and "bad" according to the MHT results. The results showed that selecting discriminating process variables from the historical database by MHT enhanced the overall effectiveness of multivariate analysis prior to principal component analysis and artificial autoassociative neural network model creation.
- 公益社団法人日本生物工学会の論文
- 2002-09-25
著者
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Suzuki Shingo
Department Of Bioinformatic Engineering Graduate School Of Information Science And Technology Osaka
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Suzuki Shingo
Technology Osaka University
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Shimizu Hiroshi
Department Of Bioinformatic Engineering Graduate School Of Information Science And Technology Osaka
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Shioya S
Department Of Biotechnology Graduate School Of Engineering Osaka University
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Shioya Suteaki
Department Of Biotechnology Graduate School Of Engineering Osaka University:(present Office)departme
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Shioya Suteaki
Department Of Biotechnology Faculty Of Engineering Osaka University
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Shioya Suteaki
Department Of Fermentation Technology Osaka University
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Shimizu H
Osaka Univ. Osaka Jpn
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Kanda Akihisa
Process And Systems Development Group Production Technology Center Kaneka Corporation
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HUANG JIHUA
Department of Biotechnology, Graduate School of Engineering, Osaka University
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NANAMI HIDENORI
Department of Biotechnology, Graduate School of Engineering, Osaka University
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Shimizu Hiroshi
Department Of Animal Science Faculty Of Agriculture Hokkaido University
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Nanami Hidenori
Department Of Biotechnology Graduate School Of Engineering Osaka University
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Huang J
Department Of Biotechnology Graduate School Of Engineering Osaka University
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Shimizu Hiroshi
Department Of Bioinformatic Engineering Graduate School Of Information Science And Technology Osaka
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SHIMIZU HIROSHI
Department of Anatomy, School of Medicine, Tokushima University
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