A 2D Hopfield neural network approach to mechanical beam damage detection

DOI10.1007/s11045-015-0342-7zbMath1368.93120OpenAlexW2246583994MaRDI QIDQ2014065

Juliana Almeida, Pedro Ribeiro, Hugo Alonso, Paula Rocha

Publication date: 10 August 2017

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/10216/110106

zbMATH Keywords

Timoshenko beam modeldamage detectionEuler-Bernoulli beam model2D Hopfield neural network

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30)

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A 2D Hopfield neural network approach to mechanical beam damage detection

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