Combining galerkin methods and neural network analysis to inversely determine thermal conductivity of living green roof materials
- Author
- ONDIMU, S. N1 ; MURASE, H1
[1] Bio-Instrumentation, Control and Systems (BICS) Engineering Laboratory, School of Life and Environmental Sciences, Osaka Prefecture University (OPU), 1-1, Gakuen-Cho, Sakai-Shi, Osaka 599-8531, Japan - Source
Biosystems engineering. 2007, Vol 96, Num 4, pp 541-550, 10 p ; ref : 1 p.1/4
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Agriculture Analyse Conductivité thermique Ingénierie Méthode Qualité environnement Réseau neuronal Végétalisation Génie biologique Toiture végétalisée Propriété physique Propriété thermique
- Keyword (en)
- Agriculture Analysis Thermal conductivity Engineering Method Environment quality Neural network Vegetalization Bioengineering Green roof Physical properties Thermal properties
- Keyword (es)
- Agricultura Análisis Conductividad térmica Ingeniería Método Calidad medio ambiente Red neuronal Vegetalización Bioingeniería Tejado verde Propiedad física Propiedad térmica
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A32 Agronomy. Soil science and plant productions / 002A32A Generalities. Biometrics, experimentation. Remote sensing / 002A32A05 Agricultural machinery and engineering
- Discipline
- Agronomy. Soil sciences and vegetal productions
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18652144
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/j.biosystemseng.2006.12.007 
https://dx.doi.org/10.1016/j.biosystemseng.2006.12.007
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