Ontology type: schema:Chapter
2009-09-30
AUTHORSV. Díaz Casás , P. Porca Belío , F. López Peña , R. J. Duro
ABSTRACTIn the present study a method is proposed to reduce the error level of these simplified simulators by correcting the results achieved by means of neural network based approximations. The results of simple aerodynamic simulators used within an evolutionary sail design process are used as application example. The neural network correction is carried out in this case by comparing the numerical results with wind tunnel experiments performed on sail models. More... »
PAGES139-149
Advances in Machine Learning and Data Analysis
ISBN
978-90-481-3176-1
978-90-481-3177-8
http://scigraph.springernature.com/pub.10.1007/978-90-481-3177-8_9
DOIhttp://dx.doi.org/10.1007/978-90-481-3177-8_9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1045704303
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Interdisciplinary Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"name": [
"Integrated Group for Engineering Research, University of Corunna, E.P.S, 15403, Ferrol, Spain"
],
"type": "Organization"
},
"familyName": "Cas\u00e1s",
"givenName": "V. D\u00edaz",
"id": "sg:person.07530326347.13",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07530326347.13"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Integrated Group for Engineering Research, University of Corunna, E.P.S, 15403, Ferrol, Spain"
],
"type": "Organization"
},
"familyName": "Bel\u00edo",
"givenName": "P. Porca",
"type": "Person"
},
{
"affiliation": {
"name": [
"Integrated Group for Engineering Research, University of Corunna, E.P.S, 15403, Ferrol, Spain"
],
"type": "Organization"
},
"familyName": "Pe\u00f1a",
"givenName": "F. L\u00f3pez",
"id": "sg:person.015463576505.83",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015463576505.83"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Integrated Group for Engineering Research, University of Corunna, E.P.S, 15403, Ferrol, Spain"
],
"type": "Organization"
},
"familyName": "Duro",
"givenName": "R. J.",
"id": "sg:person.015532374701.80",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015532374701.80"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1146/annurev.fluid.30.1.613",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002366876"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0360-8352(96)00037-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033018238"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2514/2.431",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041252404"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1115/1.1412235",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062069537"
],
"type": "CreativeWork"
}
],
"datePublished": "2009-09-30",
"datePublishedReg": "2009-09-30",
"description": "In the present study a method is proposed to reduce the error level of these simplified simulators by correcting the results achieved by means of neural network based approximations. The results of simple aerodynamic simulators used within an evolutionary sail design process are used as application example. The neural network correction is carried out in this case by comparing the numerical results with wind tunnel experiments performed on sail models.",
"editor": [
{
"familyName": "Amouzegar",
"givenName": "Mahyar A.",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-90-481-3177-8_9",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-90-481-3176-1",
"978-90-481-3177-8"
],
"name": "Advances in Machine Learning and Data Analysis",
"type": "Book"
},
"name": "Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models",
"pagination": "139-149",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1045704303"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-90-481-3177-8_9"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"d9b5bbe81c0b79397359e2ce8273eb9abf5f5a1eb4325cbc38b1b5364879aabb"
]
}
],
"publisher": {
"location": "Dordrecht",
"name": "Springer Netherlands",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-90-481-3177-8_9",
"https://app.dimensions.ai/details/publication/pub.1045704303"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-16T07:27",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000355_0000000355/records_53007_00000000.jsonl",
"type": "Chapter",
"url": "https://link.springer.com/10.1007%2F978-90-481-3177-8_9"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-90-481-3177-8_9'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-90-481-3177-8_9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-90-481-3177-8_9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-90-481-3177-8_9'
This table displays all metadata directly associated to this object as RDF triples.
102 TRIPLES
23 PREDICATES
30 URIs
19 LITERALS
8 BLANK NODES