FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3015960903> ?p ?o ?g. }

• W3015960903 endingPage "191" @default.
• W3015960903 startingPage "177" @default.
• W3015960903 abstract "We investigate a novel computational approach to computational structural optimization based on deep learning. After employing algorithms to solve the stiffness formulation of structures, we used their improvement to optimize the structural computation. A standard illustration of 10 bar-truss was revisited to illustrate the mechanism of neural networks and deep learning. Several benchmark problems of 2D and 3D truss structures were used to verify the reliability of the present approach, and its extension to other engineering structures is straightforward. To enhance computational efficiency, a constant sum technique was proposed to generate data for the input of multi-similar variables. Both displacement and stress enforcements were the constraints of the optimized problem. The optimization data for cross sections with the objective function of total weight were then employed in the context of deep learning. The stochastic gradient descent (SGD) with Nesterov’s accelerated gradient (NAG), root mean square propagation (RMSProp) and adaptive moment estimation (Adam) optimizers were compared in terms of convergence. In addition, this paper devised Chebyshev polynomials for a new approach to activation functions in single-layer neural networks. As expected, its convergence was quicker than the popular learning functions, especially in a short training with a small number of epochs for tested problems. Finally, a split data technique for linear regression was proposed to deal with some sensitive data." @default.
• W3015960903 created "2020-04-17" @default.
• W3015960903 creator A5006813711 @default.
• W3015960903 creator A5080330988 @default.
• W3015960903 date "2020-08-01" @default.
• W3015960903 modified "2023-10-02" @default.
• W3015960903 title "Deep learning for computational structural optimization" @default.
• W3015960903 cites W1123205372 @default.
• W3015960903 cites W1968635316 @default.
• W3015960903 cites W1976475066 @default.
• W3015960903 cites W1982215447 @default.
• W3015960903 cites W1987628216 @default.
• W3015960903 cites W2003751475 @default.
• W3015960903 cites W2004320657 @default.
• W3015960903 cites W2014942080 @default.
• W3015960903 cites W2021958191 @default.
• W3015960903 cites W2046272582 @default.
• W3015960903 cites W2050927287 @default.
• W3015960903 cites W2057633737 @default.
• W3015960903 cites W2065731394 @default.
• W3015960903 cites W2088742015 @default.
• W3015960903 cites W2089331403 @default.
• W3015960903 cites W2091243708 @default.
• W3015960903 cites W2109563136 @default.
• W3015960903 cites W2136922672 @default.
• W3015960903 cites W2138890315 @default.
• W3015960903 cites W2154756201 @default.
• W3015960903 cites W2502949459 @default.
• W3015960903 cites W2561981131 @default.
• W3015960903 cites W2729750142 @default.
• W3015960903 cites W2919115771 @default.
• W3015960903 cites W3004776890 @default.
• W3015960903 doi "https://doi.org/10.1016/j.isatra.2020.03.033" @default.
• W3015960903 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32303352" @default.
• W3015960903 hasPublicationYear "2020" @default.
• W3015960903 type Work @default.
• W3015960903 sameAs 3015960903 @default.
• W3015960903 citedByCount "27" @default.
• W3015960903 countsByYear W30159609032020 @default.
• W3015960903 countsByYear W30159609032021 @default.
• W3015960903 countsByYear W30159609032022 @default.
• W3015960903 countsByYear W30159609032023 @default.
• W3015960903 crossrefType "journal-article" @default.
• W3015960903 hasAuthorship W3015960903A5006813711 @default.
• W3015960903 hasAuthorship W3015960903A5080330988 @default.
• W3015960903 hasConcept C108583219 @default.
• W3015960903 hasConcept C11413529 @default.
• W3015960903 hasConcept C126255220 @default.
• W3015960903 hasConcept C127413603 @default.
• W3015960903 hasConcept C13280743 @default.
• W3015960903 hasConcept C137836250 @default.
• W3015960903 hasConcept C151730666 @default.
• W3015960903 hasConcept C153258448 @default.
• W3015960903 hasConcept C154945302 @default.
• W3015960903 hasConcept C162324750 @default.
• W3015960903 hasConcept C173534245 @default.
• W3015960903 hasConcept C179799912 @default.
• W3015960903 hasConcept C185798385 @default.
• W3015960903 hasConcept C205649164 @default.
• W3015960903 hasConcept C206688291 @default.
• W3015960903 hasConcept C2777303404 @default.
• W3015960903 hasConcept C2779343474 @default.
• W3015960903 hasConcept C33923547 @default.
• W3015960903 hasConcept C41008148 @default.
• W3015960903 hasConcept C50522688 @default.
• W3015960903 hasConcept C50644808 @default.
• W3015960903 hasConcept C66938386 @default.
• W3015960903 hasConcept C86803240 @default.
• W3015960903 hasConceptScore W3015960903C108583219 @default.
• W3015960903 hasConceptScore W3015960903C11413529 @default.
• W3015960903 hasConceptScore W3015960903C126255220 @default.
• W3015960903 hasConceptScore W3015960903C127413603 @default.
• W3015960903 hasConceptScore W3015960903C13280743 @default.
• W3015960903 hasConceptScore W3015960903C137836250 @default.
• W3015960903 hasConceptScore W3015960903C151730666 @default.
• W3015960903 hasConceptScore W3015960903C153258448 @default.
• W3015960903 hasConceptScore W3015960903C154945302 @default.
• W3015960903 hasConceptScore W3015960903C162324750 @default.
• W3015960903 hasConceptScore W3015960903C173534245 @default.
• W3015960903 hasConceptScore W3015960903C179799912 @default.
• W3015960903 hasConceptScore W3015960903C185798385 @default.
• W3015960903 hasConceptScore W3015960903C205649164 @default.
• W3015960903 hasConceptScore W3015960903C206688291 @default.
• W3015960903 hasConceptScore W3015960903C2777303404 @default.
• W3015960903 hasConceptScore W3015960903C2779343474 @default.
• W3015960903 hasConceptScore W3015960903C33923547 @default.
• W3015960903 hasConceptScore W3015960903C41008148 @default.
• W3015960903 hasConceptScore W3015960903C50522688 @default.
• W3015960903 hasConceptScore W3015960903C50644808 @default.
• W3015960903 hasConceptScore W3015960903C66938386 @default.
• W3015960903 hasConceptScore W3015960903C86803240 @default.
• W3015960903 hasLocation W30159609031 @default.
• W3015960903 hasOpenAccess W3015960903 @default.
• W3015960903 hasPrimaryLocation W30159609031 @default.
• W3015960903 hasRelatedWork W2082482750 @default.
• W3015960903 hasRelatedWork W2479609865 @default.
• W3015960903 hasRelatedWork W2480330148 @default.
• W3015960903 hasRelatedWork W2544122622 @default.

• next