Comparison of Fuzzy logic and Neural Network in life prediction of boiler tubes
- Author
- MAJIDIAN, A1 ; SAIDI, M. H2
[1] Islamic Azad University, Science and Research Campus, Tehran, Iran, Islamic Republic of
[2] School of Mechanical Engineering, Sharif University of Technology, P.O. Box 11365-9567, Tehran, Iran, Islamic Republic of - Source
International journal of fatigue. 2007, Vol 29, Num 3, pp 489-498, 10 p ; ref : 22 ref
- CODEN
- IJFADB
- ISSN
- 0142-1123
- Scientific domain
- Mechanical engineering; Metallurgy, welding; Polymers, paint and wood industries
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Boiler tube Fuzzy Genetic Algorithm Life prediction Neural Network
- Keyword (fr)
- Application Chaudière Durée vie Fatigue Intelligence artificielle Logique floue Propriété mécanique Prédiction Réseau neuronal Tube
- Keyword (en)
- Application Boiler Lifetime Fatigue Artificial intelligence Fuzzy logic Mechanical properties Prediction Neural network Tube
- Keyword (es)
- Aplicación Caldera Tiempo vida Fatiga Inteligencia artificial Lógica difusa Propiedad mecánica Predicción Red neuronal Tubo
- Keyword (de)
- Anwendung Dampfkessel Lebensdauer Ermuedung Rohr
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D11 Metals. Metallurgy / 001D11G Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology / 001D11G03 Fatigue
- Discipline
- Metals. Metallurgy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18442035
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.ijfatigue.2006.05.001 
https://dx.doi.org/10.1016/j.ijfatigue.2006.05.001
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