Matches in SemOpenAlex for { <https://semopenalex.org/work/W2775671212> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2775671212 endingPage "e0188553" @default.
- W2775671212 startingPage "e0188553" @default.
- W2775671212 abstract "In a modern small gasoline engine fuel injection system, the load of the engine is estimated based on the measurement of the manifold absolute pressure (MAP) sensor, which took place in the intake manifold. This paper present a more economical approach on estimating the MAP by using only the measurements of the throttle position and engine speed, resulting in lower implementation cost. The estimation was done via two-stage multilayer feed-forward neural network by combining Levenberg-Marquardt (LM) algorithm, Bayesian Regularization (BR) algorithm and Particle Swarm Optimization (PSO) algorithm. Based on the results found in 20 runs, the second variant of the hybrid algorithm yields a better network performance than the first variant of hybrid algorithm, LM, LM with BR and PSO by estimating the MAP closely to the simulated MAP values. By using a valid experimental training data, the estimator network that trained with the second variant of the hybrid algorithm showed the best performance among other algorithms when used in an actual retrofit fuel injection system (RFIS). The performance of the estimator was also validated in steady-state and transient condition by showing a closer MAP estimation to the actual value." @default.
- W2775671212 created "2017-12-22" @default.
- W2775671212 creator A5011377673 @default.
- W2775671212 creator A5020918408 @default.
- W2775671212 creator A5029311484 @default.
- W2775671212 creator A5035846749 @default.
- W2775671212 date "2017-11-30" @default.
- W2775671212 modified "2023-10-03" @default.
- W2775671212 title "Manifold absolute pressure estimation using neural network with hybrid training algorithm" @default.
- W2775671212 cites W1623335607 @default.
- W2775671212 cites W1875348914 @default.
- W2775671212 cites W1966991711 @default.
- W2775671212 cites W1968971028 @default.
- W2775671212 cites W1974803542 @default.
- W2775671212 cites W2002337414 @default.
- W2775671212 cites W2018269033 @default.
- W2775671212 cites W2023514903 @default.
- W2775671212 cites W2032220389 @default.
- W2775671212 cites W2062537612 @default.
- W2775671212 cites W2089621467 @default.
- W2775671212 cites W2089659963 @default.
- W2775671212 cites W2094521916 @default.
- W2775671212 cites W2138809154 @default.
- W2775671212 cites W2157107726 @default.
- W2775671212 cites W2237700381 @default.
- W2775671212 cites W2397349486 @default.
- W2775671212 cites W2466878919 @default.
- W2775671212 cites W2507921611 @default.
- W2775671212 cites W768600108 @default.
- W2775671212 doi "https://doi.org/10.1371/journal.pone.0188553" @default.
- W2775671212 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5708712" @default.
- W2775671212 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29190779" @default.
- W2775671212 hasPublicationYear "2017" @default.
- W2775671212 type Work @default.
- W2775671212 sameAs 2775671212 @default.
- W2775671212 citedByCount "2" @default.
- W2775671212 countsByYear W27756712122019 @default.
- W2775671212 countsByYear W27756712122021 @default.
- W2775671212 crossrefType "journal-article" @default.
- W2775671212 hasAuthorship W2775671212A5011377673 @default.
- W2775671212 hasAuthorship W2775671212A5020918408 @default.
- W2775671212 hasAuthorship W2775671212A5029311484 @default.
- W2775671212 hasAuthorship W2775671212A5035846749 @default.
- W2775671212 hasBestOaLocation W27756712122 @default.
- W2775671212 hasConcept C105795698 @default.
- W2775671212 hasConcept C11413529 @default.
- W2775671212 hasConcept C127413603 @default.
- W2775671212 hasConcept C150217764 @default.
- W2775671212 hasConcept C154945302 @default.
- W2775671212 hasConcept C171146098 @default.
- W2775671212 hasConcept C185429906 @default.
- W2775671212 hasConcept C33923547 @default.
- W2775671212 hasConcept C41008148 @default.
- W2775671212 hasConcept C50644808 @default.
- W2775671212 hasConcept C72971556 @default.
- W2775671212 hasConcept C85617194 @default.
- W2775671212 hasConcept C87578567 @default.
- W2775671212 hasConceptScore W2775671212C105795698 @default.
- W2775671212 hasConceptScore W2775671212C11413529 @default.
- W2775671212 hasConceptScore W2775671212C127413603 @default.
- W2775671212 hasConceptScore W2775671212C150217764 @default.
- W2775671212 hasConceptScore W2775671212C154945302 @default.
- W2775671212 hasConceptScore W2775671212C171146098 @default.
- W2775671212 hasConceptScore W2775671212C185429906 @default.
- W2775671212 hasConceptScore W2775671212C33923547 @default.
- W2775671212 hasConceptScore W2775671212C41008148 @default.
- W2775671212 hasConceptScore W2775671212C50644808 @default.
- W2775671212 hasConceptScore W2775671212C72971556 @default.
- W2775671212 hasConceptScore W2775671212C85617194 @default.
- W2775671212 hasConceptScore W2775671212C87578567 @default.
- W2775671212 hasFunder F4320323300 @default.
- W2775671212 hasIssue "11" @default.
- W2775671212 hasLocation W27756712121 @default.
- W2775671212 hasLocation W27756712122 @default.
- W2775671212 hasLocation W27756712123 @default.
- W2775671212 hasLocation W27756712124 @default.
- W2775671212 hasOpenAccess W2775671212 @default.
- W2775671212 hasPrimaryLocation W27756712121 @default.
- W2775671212 hasRelatedWork W1489050811 @default.
- W2775671212 hasRelatedWork W1965884865 @default.
- W2775671212 hasRelatedWork W2350832155 @default.
- W2775671212 hasRelatedWork W2391384657 @default.
- W2775671212 hasRelatedWork W2753185460 @default.
- W2775671212 hasRelatedWork W2911003593 @default.
- W2775671212 hasRelatedWork W2942773263 @default.
- W2775671212 hasRelatedWork W3187192684 @default.
- W2775671212 hasRelatedWork W4324095026 @default.
- W2775671212 hasRelatedWork W2516580779 @default.
- W2775671212 hasVolume "12" @default.
- W2775671212 isParatext "false" @default.
- W2775671212 isRetracted "false" @default.
- W2775671212 magId "2775671212" @default.
- W2775671212 workType "article" @default.