Prediction of problematic wine fermentations using artificial neural networks

Author:

Román R. César,Hernández O. Gonzalo,Urtubia U. Alejandra

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Bioengineering,Biotechnology

Reference30 articles.

1. Blateyron L, Sablayrolles JM (2001) Stuck and slow fermentations in enology: statistical study of causes and effectiveness of combined additions of oxygen and diammonium phosphate. J Biosci Bioeng 91:184–189

2. Bisson L, Butzke C (2000) Diagnosis and rectification of stuck and sluggish fermentations. Am J Enol Viticult 51:168–177

3. Pszczólkowski P, Carriles P, Cumsille M, Maklouf M (2001) Reflexiones sobre la madurez de Cosecha y las condiciones de vinificación, con relación a la Problemática de Fermentaciones Alcohólicas Lentas y/o paralizante, en Chile. Facultad de Agronomía, Pontificia Universidad Católica de Chile, Chile

4. Huang J, Nanami H, Kanda A, Shimizu H, Shioya S (2002) Classification of fermentation performance by multivariate analysis based on Mean Hypothesis Testing. J Biosci Bioeng 94:251–257

5. Lee JM, Yoo Ch, Lee IB (2003) On-line batch process monitoring using a consecutively updated multiway principal component analysis model. Comput Chem Eng 27:1903–1912

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