Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034707631> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2034707631 abstract "Automation of engine model calibration procedures is a very challenging task because (1) the calibration process searches for a goal state in a huge, continuous state space, (2) calibration is often a lengthy and frustrating task because of complicated mutual interference among the target parameters, and (3) the calibration problem is heuristic by nature, and often heuristic knowledge for constraining a search cannot be easily acquired from domain experts. A combined heuristic and machine learning approach has, therefore, been adopted to improve the efficiency of model calibration. We developed an intelligent calibration program called ICALIB. It has been used on a daily basis for engine model applications, and has reduced the time required for model calibrations from many hours to a few minutes on average. In this paper, we describe the heuristic control strategies employed in ICALIB such as a hill-climbing search based on a state distance estimation function, incremental problem solution refinement by using a dynamic tolerance window, and calibration target parameter ordering for guiding the search. In addition, we present the application of a machine learning program called GID3* for automatic acquisition of heuristic rules for ordering target parameters.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
- W2034707631 created "2016-06-24" @default.
- W2034707631 creator A5000696355 @default.
- W2034707631 creator A5008526560 @default.
- W2034707631 creator A5069518751 @default.
- W2034707631 creator A5082994692 @default.
- W2034707631 date "1993-03-23" @default.
- W2034707631 modified "2023-09-23" @default.
- W2034707631 title "<title>Application of heuristic and machine-learning approach to engine model calibration</title>" @default.
- W2034707631 doi "https://doi.org/10.1117/12.141734" @default.
- W2034707631 hasPublicationYear "1993" @default.
- W2034707631 type Work @default.
- W2034707631 sameAs 2034707631 @default.
- W2034707631 citedByCount "3" @default.
- W2034707631 crossrefType "proceedings-article" @default.
- W2034707631 hasAuthorship W2034707631A5000696355 @default.
- W2034707631 hasAuthorship W2034707631A5008526560 @default.
- W2034707631 hasAuthorship W2034707631A5069518751 @default.
- W2034707631 hasAuthorship W2034707631A5082994692 @default.
- W2034707631 hasConcept C105795698 @default.
- W2034707631 hasConcept C111919701 @default.
- W2034707631 hasConcept C115901376 @default.
- W2034707631 hasConcept C119857082 @default.
- W2034707631 hasConcept C127413603 @default.
- W2034707631 hasConcept C154945302 @default.
- W2034707631 hasConcept C162324750 @default.
- W2034707631 hasConcept C165838908 @default.
- W2034707631 hasConcept C173801870 @default.
- W2034707631 hasConcept C187736073 @default.
- W2034707631 hasConcept C2780451532 @default.
- W2034707631 hasConcept C33923547 @default.
- W2034707631 hasConcept C41008148 @default.
- W2034707631 hasConcept C78519656 @default.
- W2034707631 hasConcept C98045186 @default.
- W2034707631 hasConceptScore W2034707631C105795698 @default.
- W2034707631 hasConceptScore W2034707631C111919701 @default.
- W2034707631 hasConceptScore W2034707631C115901376 @default.
- W2034707631 hasConceptScore W2034707631C119857082 @default.
- W2034707631 hasConceptScore W2034707631C127413603 @default.
- W2034707631 hasConceptScore W2034707631C154945302 @default.
- W2034707631 hasConceptScore W2034707631C162324750 @default.
- W2034707631 hasConceptScore W2034707631C165838908 @default.
- W2034707631 hasConceptScore W2034707631C173801870 @default.
- W2034707631 hasConceptScore W2034707631C187736073 @default.
- W2034707631 hasConceptScore W2034707631C2780451532 @default.
- W2034707631 hasConceptScore W2034707631C33923547 @default.
- W2034707631 hasConceptScore W2034707631C41008148 @default.
- W2034707631 hasConceptScore W2034707631C78519656 @default.
- W2034707631 hasConceptScore W2034707631C98045186 @default.
- W2034707631 hasLocation W20347076311 @default.
- W2034707631 hasOpenAccess W2034707631 @default.
- W2034707631 hasPrimaryLocation W20347076311 @default.
- W2034707631 hasRelatedWork W1695686092 @default.
- W2034707631 hasRelatedWork W2002335446 @default.
- W2034707631 hasRelatedWork W2011380211 @default.
- W2034707631 hasRelatedWork W2157937859 @default.
- W2034707631 hasRelatedWork W2532647779 @default.
- W2034707631 hasRelatedWork W2727602994 @default.
- W2034707631 hasRelatedWork W2741389753 @default.
- W2034707631 hasRelatedWork W2771961962 @default.
- W2034707631 hasRelatedWork W2782861898 @default.
- W2034707631 hasRelatedWork W2785943270 @default.
- W2034707631 hasRelatedWork W2786978541 @default.
- W2034707631 hasRelatedWork W2994477525 @default.
- W2034707631 hasRelatedWork W2998356446 @default.
- W2034707631 hasRelatedWork W3000456117 @default.
- W2034707631 hasRelatedWork W3158620332 @default.
- W2034707631 hasRelatedWork W3174546212 @default.
- W2034707631 hasRelatedWork W3186597808 @default.
- W2034707631 hasRelatedWork W2186454458 @default.
- W2034707631 hasRelatedWork W2440552246 @default.
- W2034707631 hasRelatedWork W2966579190 @default.
- W2034707631 isParatext "false" @default.
- W2034707631 isRetracted "false" @default.
- W2034707631 magId "2034707631" @default.
- W2034707631 workType "article" @default.