Application of a moving-window-adaptive neural network to the modeling of a full-scale anaerobic filter process
- Author
- LEE, Min W1 ; JOUNG, Jea Y1 ; LEE, Dae S1 ; PARK, Jong M1 ; WOO, Seung H2
[1] Department of Chemical Engineering, School of Environmental Science and Engineering, POSTECH, San 31, Hyoja-dong, Pohang, Kyungbuk 790-784, Korea, Republic of
[2] Department of Chemical Engineering, Hanbat National University, San 16-1, Dukmyung-dong, Yuseong-gu, Daejeon 308-719, Korea, Republic of - Source
Industrial & engineering chemistry research. 2005, Vol 44, Num 11, pp 3973-3982, 10 p ; ref : 26 ref
- CODEN
- IECRED
- ISSN
- 0888-5885
- Scientific domain
- Biotechnology; Energy; Chemical engineering
- Publisher
- American Chemical Society, Washington, DC
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Anaérobie Modélisation Réseau neuronal
- Keyword (en)
- Anaerobe Modeling Neural network
- Keyword (es)
- Anaerobio Modelización Red neuronal
- Classification
- Discipline
- Chemical engineering
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16816198
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
10.1021/ie048944a 
https://dx.doi.org/10.1021/ie048944a
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