Neural network programming in bioprocess variable estimation and state prediction
- Author
- LINKO, P; YIHONG ZHU
Helsinki univ. technology, dep. chemical eng., lab. biotechnology food eng., Espoo, Finland - Source
Journal of biotechnology. 1991, Vol 21, Num 3, pp 253-269 ; ref : 14 ref
- CODEN
- JBITD4
- ISSN
- 0168-1656
- Scientific domain
- Biochemistry, molecular biology, biophysics; Biotechnology
- Publisher
- Elsevier, Amsterdam
/
Elsevier, Lausanne
/
Elsevier, New York, NY
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Apprentissage Biotechnologie En discontinu En semi continu Estimation état Modèle simulation Procédé Prédiction Réseau neuronal Système intelligent
- Keyword (en)
- Learning Biotechnology Batchwise Semicontinuous State estimation Simulation model Operating process Prediction Neural network Intelligent system
- Keyword (es)
- Aprendizaje Biotecnología En discontinuo En semicontinuo Estimación estado Modelo simulación Procedimiento Predicción Red neuronal Sistema inteligente
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A31 Biotechnology
- Discipline
- Biological sciences. Generalities. Modelling. Methods Biotechnology Generalities in biological sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 5079827
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/0168-1656(91)90046-X 
https://dx.doi.org/10.1016/0168-1656(91)90046-X
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