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Volumn 94, Issue 3, 2002, Pages 251-257

Classification of fermentation performance by multivariate analysis based on mean hypothesis testing

Author keywords

Artificial autoassociative neural network; Data preprocessing; Principal component analysis; T test

Indexed keywords

DATA REDUCTION; FERMENTATION; MULTIVARIABLE SYSTEMS; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS;

EID: 0036401887     PISSN: 13891723     EISSN: None     Source Type: Journal    
DOI: 10.1263/jbb.94.251     Document Type: Article
Times cited : (12)

References (15)
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    • Ignova, M.1    Montague, G.A.2    Ward, A.C.3    Glassey, J.4
  • 8
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    • Kell, D. B. and Sonnleitner, B.: GMP-good modeling practice: an essential component of good manufacturing practice. TIBTECH, 13, 481-492 (1995).
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    • Mining of biological data I: Identifying discriminating features via mean hypothesis testing
    • Kamimura, R. T., Bicciato, S., Shimizu, H., Alford, J., and Stephanopoulos, G.: Mining of biological data I: identifying discriminating features via mean hypothesis testing. Metab. Eng., 2, 218-227 (2000).
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    • Kamimura, R.T.1    Bicciato, S.2    Shimizu, H.3    Alford, J.4    Stephanopoulos, G.5
  • 10
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    • Mining of biological data II: Assessing data structure and class homogeneity by cluster analysis
    • Kamimura, R. T., Bicciato, S., Shimizu, H., Alford, J., and Stephanopoulos, G.: Mining of biological data II: assessing data structure and class homogeneity by cluster analysis. Metab. Eng., 2, 228-238 (2000).
    • (2000) Metab. Eng. , vol.2 , pp. 228-238
    • Kamimura, R.T.1    Bicciato, S.2    Shimizu, H.3    Alford, J.4    Stephanopoulos, G.5
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    • On-line fault diagnosis for optimal rice α-amylase production of a temperature-sensitive mutant of Saccharomyces cerevisiae by an autoassociative neural network
    • Shimizu, H., Yasuoka, K., Uchiyama, K., and Shioya, S.: On-line fault diagnosis for optimal rice α-amylase production of a temperature-sensitive mutant of Saccharomyces cerevisiae by an autoassociative neural network. J. Ferment. Bioeng., 83, 345-342 (1997).
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    • Shimizu, H.1    Yasuoka, K.2    Uchiyama, K.3    Shioya, S.4
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    • Nonlinear principal component analysis using auto-associative neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.