Matches in SemOpenAlex for { <https://semopenalex.org/work/W2039852947> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2039852947 endingPage "484" @default.
- W2039852947 startingPage "463" @default.
- W2039852947 abstract "We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansion of the nonlinear model output. We stress the assumptions on which these results are based, in order to derive an appropriate methodology for neural black-box modeling; the latter is then analyzed and illustrated on simulated and real processes. We show that the linear Taylor expansion of a nonlinear model output also gives a tool to detect the possible ill-conditioning of neural network candidates, and to estimate their performance. Finally, we show that the least squares and linear Taylor expansion based approach compares favorably with other analytic approaches, and that it is an efficient and economic alternative to the nonanalytic and computationally intensive bootstrap methods." @default.
- W2039852947 created "2016-06-24" @default.
- W2039852947 creator A5011938320 @default.
- W2039852947 creator A5056260743 @default.
- W2039852947 date "2000-06-01" @default.
- W2039852947 modified "2023-10-01" @default.
- W2039852947 title "Construction of confidence intervals for neural networks based on least squares estimation" @default.
- W2039852947 cites W1889831604 @default.
- W2039852947 cites W1977923618 @default.
- W2039852947 cites W1981184437 @default.
- W2039852947 cites W2107570767 @default.
- W2039852947 cites W2111051539 @default.
- W2039852947 cites W2112514080 @default.
- W2039852947 cites W2129832613 @default.
- W2039852947 cites W2141702548 @default.
- W2039852947 cites W2489605225 @default.
- W2039852947 cites W2911546748 @default.
- W2039852947 doi "https://doi.org/10.1016/s0893-6080(99)00080-5" @default.
- W2039852947 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/10946394" @default.
- W2039852947 hasPublicationYear "2000" @default.
- W2039852947 type Work @default.
- W2039852947 sameAs 2039852947 @default.
- W2039852947 citedByCount "73" @default.
- W2039852947 countsByYear W20398529472012 @default.
- W2039852947 countsByYear W20398529472014 @default.
- W2039852947 countsByYear W20398529472015 @default.
- W2039852947 countsByYear W20398529472016 @default.
- W2039852947 countsByYear W20398529472017 @default.
- W2039852947 countsByYear W20398529472018 @default.
- W2039852947 countsByYear W20398529472019 @default.
- W2039852947 countsByYear W20398529472020 @default.
- W2039852947 countsByYear W20398529472021 @default.
- W2039852947 countsByYear W20398529472022 @default.
- W2039852947 countsByYear W20398529472023 @default.
- W2039852947 crossrefType "journal-article" @default.
- W2039852947 hasAuthorship W2039852947A5011938320 @default.
- W2039852947 hasAuthorship W2039852947A5056260743 @default.
- W2039852947 hasConcept C105795698 @default.
- W2039852947 hasConcept C11413529 @default.
- W2039852947 hasConcept C121332964 @default.
- W2039852947 hasConcept C126255220 @default.
- W2039852947 hasConcept C134306372 @default.
- W2039852947 hasConcept C154945302 @default.
- W2039852947 hasConcept C158622935 @default.
- W2039852947 hasConcept C158946198 @default.
- W2039852947 hasConcept C163175372 @default.
- W2039852947 hasConcept C167928553 @default.
- W2039852947 hasConcept C185429906 @default.
- W2039852947 hasConcept C188649462 @default.
- W2039852947 hasConcept C28826006 @default.
- W2039852947 hasConcept C33923547 @default.
- W2039852947 hasConcept C41008148 @default.
- W2039852947 hasConcept C44249647 @default.
- W2039852947 hasConcept C45923927 @default.
- W2039852947 hasConcept C50644808 @default.
- W2039852947 hasConcept C62520636 @default.
- W2039852947 hasConcept C9936470 @default.
- W2039852947 hasConceptScore W2039852947C105795698 @default.
- W2039852947 hasConceptScore W2039852947C11413529 @default.
- W2039852947 hasConceptScore W2039852947C121332964 @default.
- W2039852947 hasConceptScore W2039852947C126255220 @default.
- W2039852947 hasConceptScore W2039852947C134306372 @default.
- W2039852947 hasConceptScore W2039852947C154945302 @default.
- W2039852947 hasConceptScore W2039852947C158622935 @default.
- W2039852947 hasConceptScore W2039852947C158946198 @default.
- W2039852947 hasConceptScore W2039852947C163175372 @default.
- W2039852947 hasConceptScore W2039852947C167928553 @default.
- W2039852947 hasConceptScore W2039852947C185429906 @default.
- W2039852947 hasConceptScore W2039852947C188649462 @default.
- W2039852947 hasConceptScore W2039852947C28826006 @default.
- W2039852947 hasConceptScore W2039852947C33923547 @default.
- W2039852947 hasConceptScore W2039852947C41008148 @default.
- W2039852947 hasConceptScore W2039852947C44249647 @default.
- W2039852947 hasConceptScore W2039852947C45923927 @default.
- W2039852947 hasConceptScore W2039852947C50644808 @default.
- W2039852947 hasConceptScore W2039852947C62520636 @default.
- W2039852947 hasConceptScore W2039852947C9936470 @default.
- W2039852947 hasIssue "4-5" @default.
- W2039852947 hasLocation W20398529471 @default.
- W2039852947 hasLocation W20398529472 @default.
- W2039852947 hasOpenAccess W2039852947 @default.
- W2039852947 hasPrimaryLocation W20398529471 @default.
- W2039852947 hasRelatedWork W1983876277 @default.
- W2039852947 hasRelatedWork W2014221594 @default.
- W2039852947 hasRelatedWork W2141199219 @default.
- W2039852947 hasRelatedWork W2360154135 @default.
- W2039852947 hasRelatedWork W2796799288 @default.
- W2039852947 hasRelatedWork W2797020683 @default.
- W2039852947 hasRelatedWork W2982143337 @default.
- W2039852947 hasRelatedWork W4213212592 @default.
- W2039852947 hasRelatedWork W822214217 @default.
- W2039852947 hasRelatedWork W886551421 @default.
- W2039852947 hasVolume "13" @default.
- W2039852947 isParatext "false" @default.
- W2039852947 isRetracted "false" @default.
- W2039852947 magId "2039852947" @default.
- W2039852947 workType "article" @default.