Matches in SemOpenAlex for { <https://semopenalex.org/work/W2169585246> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2169585246 abstract "This paper presents the analysis of weight decay regularisation, which is one of artificial neural network generalisation categories, in modelling nonlinear behaviour of steam temperature in distillation essential oil extraction system. The modelling is based on the neural network autoregressive with exogenous input structure. During the network training, the optimisation of the network weights has been carried out by minimisation the error through the Levenberg-Marquardt algorithm (LMA). In the weight decay regularisation network training, the LMA has been modified. Several results on unregularised and regularised trainings have been presented, compared and concluded. The results showed that the optimal weights are obtained with the moderate regularisation of the network training." @default.
- W2169585246 created "2016-06-24" @default.
- W2169585246 creator A5040904054 @default.
- W2169585246 creator A5044049724 @default.
- W2169585246 creator A5059748399 @default.
- W2169585246 creator A5079881309 @default.
- W2169585246 date "2009-03-01" @default.
- W2169585246 modified "2023-10-14" @default.
- W2169585246 title "Analysis of weight decay regularisation in NNARX nonlinear identification" @default.
- W2169585246 cites W1497595581 @default.
- W2169585246 cites W1535260033 @default.
- W2169585246 cites W1587891467 @default.
- W2169585246 cites W1593822055 @default.
- W2169585246 cites W1703691331 @default.
- W2169585246 cites W1965324089 @default.
- W2169585246 cites W1973902812 @default.
- W2169585246 cites W1981494355 @default.
- W2169585246 cites W2000573205 @default.
- W2169585246 cites W2087120204 @default.
- W2169585246 cites W2097330837 @default.
- W2169585246 cites W2103972871 @default.
- W2169585246 cites W2116738021 @default.
- W2169585246 cites W2138169724 @default.
- W2169585246 cites W2148138104 @default.
- W2169585246 cites W2896916590 @default.
- W2169585246 cites W639267115 @default.
- W2169585246 doi "https://doi.org/10.1109/cspa.2009.5069250" @default.
- W2169585246 hasPublicationYear "2009" @default.
- W2169585246 type Work @default.
- W2169585246 sameAs 2169585246 @default.
- W2169585246 citedByCount "9" @default.
- W2169585246 countsByYear W21695852462013 @default.
- W2169585246 countsByYear W21695852462014 @default.
- W2169585246 countsByYear W21695852462017 @default.
- W2169585246 countsByYear W21695852462019 @default.
- W2169585246 countsByYear W21695852462020 @default.
- W2169585246 crossrefType "proceedings-article" @default.
- W2169585246 hasAuthorship W2169585246A5040904054 @default.
- W2169585246 hasAuthorship W2169585246A5044049724 @default.
- W2169585246 hasAuthorship W2169585246A5059748399 @default.
- W2169585246 hasAuthorship W2169585246A5079881309 @default.
- W2169585246 hasConcept C105795698 @default.
- W2169585246 hasConcept C11413529 @default.
- W2169585246 hasConcept C121332964 @default.
- W2169585246 hasConcept C154945302 @default.
- W2169585246 hasConcept C158622935 @default.
- W2169585246 hasConcept C159877910 @default.
- W2169585246 hasConcept C2775924081 @default.
- W2169585246 hasConcept C33923547 @default.
- W2169585246 hasConcept C41008148 @default.
- W2169585246 hasConcept C42536954 @default.
- W2169585246 hasConcept C47446073 @default.
- W2169585246 hasConcept C50644808 @default.
- W2169585246 hasConcept C62520636 @default.
- W2169585246 hasConceptScore W2169585246C105795698 @default.
- W2169585246 hasConceptScore W2169585246C11413529 @default.
- W2169585246 hasConceptScore W2169585246C121332964 @default.
- W2169585246 hasConceptScore W2169585246C154945302 @default.
- W2169585246 hasConceptScore W2169585246C158622935 @default.
- W2169585246 hasConceptScore W2169585246C159877910 @default.
- W2169585246 hasConceptScore W2169585246C2775924081 @default.
- W2169585246 hasConceptScore W2169585246C33923547 @default.
- W2169585246 hasConceptScore W2169585246C41008148 @default.
- W2169585246 hasConceptScore W2169585246C42536954 @default.
- W2169585246 hasConceptScore W2169585246C47446073 @default.
- W2169585246 hasConceptScore W2169585246C50644808 @default.
- W2169585246 hasConceptScore W2169585246C62520636 @default.
- W2169585246 hasLocation W21695852461 @default.
- W2169585246 hasOpenAccess W2169585246 @default.
- W2169585246 hasPrimaryLocation W21695852461 @default.
- W2169585246 hasRelatedWork W2136336734 @default.
- W2169585246 hasRelatedWork W2177401844 @default.
- W2169585246 hasRelatedWork W2336868063 @default.
- W2169585246 hasRelatedWork W2902707689 @default.
- W2169585246 hasRelatedWork W2904357295 @default.
- W2169585246 hasRelatedWork W2990899954 @default.
- W2169585246 hasRelatedWork W3156263594 @default.
- W2169585246 hasRelatedWork W4225851526 @default.
- W2169585246 hasRelatedWork W4253666091 @default.
- W2169585246 hasRelatedWork W883676525 @default.
- W2169585246 isParatext "false" @default.
- W2169585246 isRetracted "false" @default.
- W2169585246 magId "2169585246" @default.
- W2169585246 workType "article" @default.