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Performance Comparison Between a Statistical Model, a Deterministic Model, and an Artificial Neural Network Model for Predicting Damage From Pitting Corrosion
Various attempts have been made to develop models for predicting the development of damage in metals and alloys due to pitting corrosion. These models may be divided into two classes: the empirical approach which employs extreme value statistics, and the deterministic approach based on perceived mec...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
1994
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345306/ https://www.ncbi.nlm.nih.gov/pubmed/37405301 http://dx.doi.org/10.6028/jres.099.047 |