A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and genetic programming
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Title
A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and genetic programming
Authors
Keywords
Adhesive bonded joint, Composite material, Finite element model, Genetic programming, Deep neuron network
Journal
COMPOSITES PART B-ENGINEERING
Volume 217, Issue -, Pages 108894
Publisher
Elsevier BV
Online
2021-04-15
DOI
10.1016/j.compositesb.2021.108894
References
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