Matches in SemOpenAlex for { <https://semopenalex.org/work/W2586336609> ?p ?o ?g. }
Showing items 1 to 44 of
44
with 100 items per page.
- W2586336609 abstract "Neural Network (NN) have been widely used in modeling engineering problems, for the last two decades as a result of the developments in computer and software technology. The results of NN models, if constructed properly, generally yield a more realistic and accurate predictions. This study is intended to estimate the stiffness modification factor for the coupling beam of coupled shear walls using a neural network model. A multi-layered feed-forward NN model trained with the back-propagation algorithm is developed to model the non-linear relationship between the geometrical and mechanical properties of a coupled shear walls and its stiffness modification factor. The approach adapted in this study was shown to be capable of providing the best accurate estimates of the stiffness modification factor by using the three design parameters." @default.
- W2586336609 created "2017-02-17" @default.
- W2586336609 creator A5068036076 @default.
- W2586336609 date "2016-12-30" @default.
- W2586336609 modified "2023-09-23" @default.
- W2586336609 doi "https://doi.org/10.7212/zkufbd.v6i2.224" @default.
- W2586336609 hasPublicationYear "2016" @default.
- W2586336609 type Work @default.
- W2586336609 sameAs 2586336609 @default.
- W2586336609 citedByCount "0" @default.
- W2586336609 crossrefType "journal-issue" @default.
- W2586336609 hasAuthorship W2586336609A5068036076 @default.
- W2586336609 hasBestOaLocation W25863366091 @default.
- W2586336609 hasConcept C41008148 @default.
- W2586336609 hasConceptScore W2586336609C41008148 @default.
- W2586336609 hasIssue "2" @default.
- W2586336609 hasLocation W25863366091 @default.
- W2586336609 hasOpenAccess W2586336609 @default.
- W2586336609 hasPrimaryLocation W25863366091 @default.
- W2586336609 hasRelatedWork W1522145779 @default.
- W2586336609 hasRelatedWork W1979446869 @default.
- W2586336609 hasRelatedWork W2014336075 @default.
- W2586336609 hasRelatedWork W2029228010 @default.
- W2586336609 hasRelatedWork W2043248383 @default.
- W2586336609 hasRelatedWork W2053000745 @default.
- W2586336609 hasRelatedWork W2092383062 @default.
- W2586336609 hasRelatedWork W2103971234 @default.
- W2586336609 hasRelatedWork W2148785668 @default.
- W2586336609 hasRelatedWork W2161463859 @default.
- W2586336609 hasRelatedWork W2202839785 @default.
- W2586336609 hasRelatedWork W2241218092 @default.
- W2586336609 hasRelatedWork W2359039814 @default.
- W2586336609 hasRelatedWork W2373626921 @default.
- W2586336609 hasRelatedWork W2374559323 @default.
- W2586336609 hasRelatedWork W2626715302 @default.
- W2586336609 hasRelatedWork W3037668738 @default.
- W2586336609 hasRelatedWork W3201020477 @default.
- W2586336609 hasRelatedWork W62199793 @default.
- W2586336609 hasRelatedWork W3087308160 @default.
- W2586336609 hasVolume "6" @default.
- W2586336609 isParatext "false" @default.
- W2586336609 isRetracted "false" @default.
- W2586336609 magId "2586336609" @default.
- W2586336609 workType "paratext" @default.