Matches in SemOpenAlex for { <https://semopenalex.org/work/W2064957389> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2064957389 abstract "Is this paper, Bayesian approach was used to learn the artificial neural network. In Bayesian ANN, the error function consists of two terms: first term is the error term of entire data, second term is the extra regularizing term(also called weight decay term ) which can penalize large weight. Each weight and the error were considered as random variables, their prior probability distributions are normal with zero mean, and their variances constant called the hyper-parameters. The main work of Bayesian approach is obtain the most probable values of hyper-parameters, such that Margin likelihood get maximum values. We used Bayesian Neural network and ordinary ANN as base models to forecast the hour power load. The forecasting results show that the MAPE and RMSE of the Bayesian ANN are all less than that of other Classical ANN. Bayesian ANN has better performance, it can be applied to real forecasting work." @default.
- W2064957389 created "2016-06-24" @default.
- W2064957389 creator A5013653143 @default.
- W2064957389 creator A5025155285 @default.
- W2064957389 date "2009-07-01" @default.
- W2064957389 modified "2023-09-27" @default.
- W2064957389 title "Bayesian Neural networks for short term load forecasting" @default.
- W2064957389 cites W1899402344 @default.
- W2064957389 cites W1959117601 @default.
- W2064957389 cites W1976221999 @default.
- W2064957389 cites W1994026205 @default.
- W2064957389 cites W2008404566 @default.
- W2064957389 cites W2013744516 @default.
- W2064957389 cites W2065350746 @default.
- W2064957389 cites W2101806981 @default.
- W2064957389 cites W2104571697 @default.
- W2064957389 cites W2105916576 @default.
- W2064957389 cites W2107025615 @default.
- W2064957389 cites W2108423168 @default.
- W2064957389 cites W2111051539 @default.
- W2064957389 cites W2111478371 @default.
- W2064957389 cites W2122671960 @default.
- W2064957389 cites W2123410355 @default.
- W2064957389 cites W2146097858 @default.
- W2064957389 cites W2147354906 @default.
- W2064957389 cites W2151767444 @default.
- W2064957389 cites W2154808242 @default.
- W2064957389 cites W2727300753 @default.
- W2064957389 doi "https://doi.org/10.1109/icwapr.2009.5207407" @default.
- W2064957389 hasPublicationYear "2009" @default.
- W2064957389 type Work @default.
- W2064957389 sameAs 2064957389 @default.
- W2064957389 citedByCount "3" @default.
- W2064957389 countsByYear W20649573892013 @default.
- W2064957389 countsByYear W20649573892019 @default.
- W2064957389 crossrefType "proceedings-article" @default.
- W2064957389 hasAuthorship W2064957389A5013653143 @default.
- W2064957389 hasAuthorship W2064957389A5025155285 @default.
- W2064957389 hasConcept C105795698 @default.
- W2064957389 hasConcept C107673813 @default.
- W2064957389 hasConcept C119857082 @default.
- W2064957389 hasConcept C121332964 @default.
- W2064957389 hasConcept C139945424 @default.
- W2064957389 hasConcept C149569020 @default.
- W2064957389 hasConcept C154945302 @default.
- W2064957389 hasConcept C160234255 @default.
- W2064957389 hasConcept C33923547 @default.
- W2064957389 hasConcept C41008148 @default.
- W2064957389 hasConcept C50644808 @default.
- W2064957389 hasConcept C61797465 @default.
- W2064957389 hasConcept C62520636 @default.
- W2064957389 hasConcept C71983512 @default.
- W2064957389 hasConcept C774472 @default.
- W2064957389 hasConceptScore W2064957389C105795698 @default.
- W2064957389 hasConceptScore W2064957389C107673813 @default.
- W2064957389 hasConceptScore W2064957389C119857082 @default.
- W2064957389 hasConceptScore W2064957389C121332964 @default.
- W2064957389 hasConceptScore W2064957389C139945424 @default.
- W2064957389 hasConceptScore W2064957389C149569020 @default.
- W2064957389 hasConceptScore W2064957389C154945302 @default.
- W2064957389 hasConceptScore W2064957389C160234255 @default.
- W2064957389 hasConceptScore W2064957389C33923547 @default.
- W2064957389 hasConceptScore W2064957389C41008148 @default.
- W2064957389 hasConceptScore W2064957389C50644808 @default.
- W2064957389 hasConceptScore W2064957389C61797465 @default.
- W2064957389 hasConceptScore W2064957389C62520636 @default.
- W2064957389 hasConceptScore W2064957389C71983512 @default.
- W2064957389 hasConceptScore W2064957389C774472 @default.
- W2064957389 hasLocation W20649573891 @default.
- W2064957389 hasOpenAccess W2064957389 @default.
- W2064957389 hasPrimaryLocation W20649573891 @default.
- W2064957389 hasRelatedWork W1815854394 @default.
- W2064957389 hasRelatedWork W2003766637 @default.
- W2064957389 hasRelatedWork W2041706261 @default.
- W2064957389 hasRelatedWork W2059852492 @default.
- W2064957389 hasRelatedWork W2083668137 @default.
- W2064957389 hasRelatedWork W2111628157 @default.
- W2064957389 hasRelatedWork W2116027862 @default.
- W2064957389 hasRelatedWork W2124640598 @default.
- W2064957389 hasRelatedWork W2136039914 @default.
- W2064957389 hasRelatedWork W2303062067 @default.
- W2064957389 hasRelatedWork W2329405819 @default.
- W2064957389 hasRelatedWork W2536690300 @default.
- W2064957389 hasRelatedWork W2785486793 @default.
- W2064957389 hasRelatedWork W2993051803 @default.
- W2064957389 hasRelatedWork W3003555975 @default.
- W2064957389 hasRelatedWork W3004871518 @default.
- W2064957389 hasRelatedWork W3190704708 @default.
- W2064957389 hasRelatedWork W3201344511 @default.
- W2064957389 hasRelatedWork W3203679490 @default.
- W2064957389 hasRelatedWork W2611143304 @default.
- W2064957389 isParatext "false" @default.
- W2064957389 isRetracted "false" @default.
- W2064957389 magId "2064957389" @default.
- W2064957389 workType "article" @default.