The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm

Pattern recognition is a promising approach for the detection of structural damage using measured dynamic data. Much research of pattern recognition has employed artificial neural networks (ANNs) as a systematic way of matching pattern features. When such methods are used, the ANN design becomes the...

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Veröffentlicht in:	Engineering structures 2008-10, Vol.30 (10), p.2762-2770
Hauptverfasser:	Lam, Heung Fai, Ng, Ching Tai
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural networks Bayesian model class selection Benchmark study Building failures (cracks, physical changes, etc.) Buildings. Public works Computation methods. Tables. Charts Durability. Pathology. Repairing. Maintenance Exact sciences and technology Structural analysis. Stresses Structural damage detection
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