Matches in SemOpenAlex for { <https://semopenalex.org/work/W2966713527> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2966713527 abstract "An Autoencoder is a multilayer neural network that is used as a powerful tool to perform dimensionality reduction. Due to its structure, is possible to find low-dimensional representations of high-dimensional data in its most hidden layer. In this paper, a deep autoencoder is used to perform a compact representation of the time response of linear systems. The parameters of deep autoencoder are trained using gradient descent and backpropagation. The proposed method is validated with five different first-order systems and six of second order. Results show that is possible to use a deep autoencoder to capture the dynamical behavior of a dynamical system in its latent layer." @default.
- W2966713527 created "2019-08-13" @default.
- W2966713527 creator A5002044615 @default.
- W2966713527 creator A5066341052 @default.
- W2966713527 date "2019-06-01" @default.
- W2966713527 modified "2023-09-27" @default.
- W2966713527 title "Dimensionality Reduction Applied to Time Response of Linear Systems Using Autoencoders" @default.
- W2966713527 cites W2002563186 @default.
- W2966713527 cites W2112796928 @default.
- W2966713527 cites W2138484437 @default.
- W2966713527 cites W2181347294 @default.
- W2966713527 cites W2480364715 @default.
- W2966713527 cites W2565516711 @default.
- W2966713527 cites W2586185552 @default.
- W2966713527 cites W2734381644 @default.
- W2966713527 cites W2735778951 @default.
- W2966713527 cites W2895858327 @default.
- W2966713527 doi "https://doi.org/10.1109/colcaci.2019.8781797" @default.
- W2966713527 hasPublicationYear "2019" @default.
- W2966713527 type Work @default.
- W2966713527 sameAs 2966713527 @default.
- W2966713527 citedByCount "0" @default.
- W2966713527 crossrefType "proceedings-article" @default.
- W2966713527 hasAuthorship W2966713527A5002044615 @default.
- W2966713527 hasAuthorship W2966713527A5066341052 @default.
- W2966713527 hasConcept C101738243 @default.
- W2966713527 hasConcept C108583219 @default.
- W2966713527 hasConcept C111030470 @default.
- W2966713527 hasConcept C111335779 @default.
- W2966713527 hasConcept C11413529 @default.
- W2966713527 hasConcept C153180895 @default.
- W2966713527 hasConcept C153258448 @default.
- W2966713527 hasConcept C154945302 @default.
- W2966713527 hasConcept C155032097 @default.
- W2966713527 hasConcept C17744445 @default.
- W2966713527 hasConcept C199539241 @default.
- W2966713527 hasConcept C2524010 @default.
- W2966713527 hasConcept C2776359362 @default.
- W2966713527 hasConcept C33923547 @default.
- W2966713527 hasConcept C41008148 @default.
- W2966713527 hasConcept C50644808 @default.
- W2966713527 hasConcept C70518039 @default.
- W2966713527 hasConcept C94625758 @default.
- W2966713527 hasConceptScore W2966713527C101738243 @default.
- W2966713527 hasConceptScore W2966713527C108583219 @default.
- W2966713527 hasConceptScore W2966713527C111030470 @default.
- W2966713527 hasConceptScore W2966713527C111335779 @default.
- W2966713527 hasConceptScore W2966713527C11413529 @default.
- W2966713527 hasConceptScore W2966713527C153180895 @default.
- W2966713527 hasConceptScore W2966713527C153258448 @default.
- W2966713527 hasConceptScore W2966713527C154945302 @default.
- W2966713527 hasConceptScore W2966713527C155032097 @default.
- W2966713527 hasConceptScore W2966713527C17744445 @default.
- W2966713527 hasConceptScore W2966713527C199539241 @default.
- W2966713527 hasConceptScore W2966713527C2524010 @default.
- W2966713527 hasConceptScore W2966713527C2776359362 @default.
- W2966713527 hasConceptScore W2966713527C33923547 @default.
- W2966713527 hasConceptScore W2966713527C41008148 @default.
- W2966713527 hasConceptScore W2966713527C50644808 @default.
- W2966713527 hasConceptScore W2966713527C70518039 @default.
- W2966713527 hasConceptScore W2966713527C94625758 @default.
- W2966713527 hasLocation W29667135271 @default.
- W2966713527 hasOpenAccess W2966713527 @default.
- W2966713527 hasPrimaryLocation W29667135271 @default.
- W2966713527 hasRelatedWork W1874498466 @default.
- W2966713527 hasRelatedWork W1892352106 @default.
- W2966713527 hasRelatedWork W2042970394 @default.
- W2966713527 hasRelatedWork W2127979711 @default.
- W2966713527 hasRelatedWork W2147062276 @default.
- W2966713527 hasRelatedWork W2159052453 @default.
- W2966713527 hasRelatedWork W2173697373 @default.
- W2966713527 hasRelatedWork W2291027405 @default.
- W2966713527 hasRelatedWork W2561849210 @default.
- W2966713527 hasRelatedWork W2751603382 @default.
- W2966713527 hasRelatedWork W2761264282 @default.
- W2966713527 hasRelatedWork W2897000837 @default.
- W2966713527 hasRelatedWork W2912759868 @default.
- W2966713527 hasRelatedWork W2981596553 @default.
- W2966713527 hasRelatedWork W3112062690 @default.
- W2966713527 hasRelatedWork W3149272766 @default.
- W2966713527 hasRelatedWork W3166728214 @default.
- W2966713527 hasRelatedWork W3197070697 @default.
- W2966713527 hasRelatedWork W3198981872 @default.
- W2966713527 isParatext "false" @default.
- W2966713527 isRetracted "false" @default.
- W2966713527 magId "2966713527" @default.
- W2966713527 workType "article" @default.