Bayesian machine learning in analysis of selected identification problems in mechanics of materials and structures
Variant of the title
Bayesowskie uczenie maszynowe w analizie wybranych problemów identyfikacji w mechanice materiałów i konstrukcji
Author
Słoński, Marek
Release date
2014
Place of publication
Kraków
Publisher
Wydawnictwo PK
Series title
Monografia, nr 473. Inżynieria Lądowa
Language
English
Keywords
Bayesian machine learning, identification problem, mechanics of materials and structures, neural network, particle filter, Gaussian mixture model, digital image correlation
Abstract
This monograph presents the Bayesian machine learning-based approach to selected identification problems in the context of mechanics of structures and materials. Several identification problems can be formulated in this context and solved using Bayesian machine learning methods. For example, concrete properties prediction problems can be formulated as regression problems and solved using Bayesian methods for regression. Similarly, structural damage identification problems can be formulated as classification problems and solved using Bayesian methods for classification. Thus, the main aim of the dissertation is to formulate, solve and discuss selected identification problems related to mechanics of materials and structures by applying Bayesian machine learning methods.
PKT classification
630000 Budownictwo
Department
Faculty of Civil Engineering
License
Licencja PK. Brak możliwości edycji i druku.
Access rights
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