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Experimental and simulation study of compose panels inelastic behavior using Artificial Neural Networks
(CONSEJO SUPERIOR INVESTIGACIONES CIENTIFICAS-CSIC, 2020)
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Damage detection in beams by using artificial neural networks and dynamical parameters
(IMPRENTA UNIV ANTIOQUIAMEDELLIN, 2012-06)
In this paper is presented a multilayer perceptron neural network combined with the Nelder-Mead Simplex method to detect damage in multiple support beams. The input parameters are based on natural frequencies and modal ...
Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies
(Hindawi, 2014)
The main problem in damage assessment is the determination of how to ascertain the presence, location, and severity of structural
damage given the structure’s dynamic characteristics. The most successful applications of ...
Effect of defoliation levels on recovery of leaf area, on yield and agronomic traits of soybeans.
(Pesquisa Agropecuaria Brasileira, Brasilia, v.33, n.4, p.411-424, abr. 1998., 1998)
Mortality and mechanical damage of seedlings in different size fragments of the Brazilian Atlantic Forest
(Int Soc Tropical EcologyVaranasiÍndia, 2009)
Scopolamine in Brugmansia suaveolens (Solanaceae): Defense, allocation, costs, and induced response
(SpringerDordrechtHolanda, 2007)