Konferans bildirisi Açık Erişim
Baspinar, Baris; Koyuncu, Emre
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/31943</identifier> <creators> <creator> <creatorName>Baspinar, Baris</creatorName> <givenName>Baris</givenName> <familyName>Baspinar</familyName> <affiliation>Istanbul Tech Univ, Dept Aeronaut Engn, Istanbul, Turkey</affiliation> </creator> <creator> <creatorName>Koyuncu, Emre</creatorName> <givenName>Emre</givenName> <familyName>Koyuncu</familyName> <affiliation>Istanbul Tech Univ, Dept Aeronaut Engn, Istanbul, Turkey</affiliation> </creator> </creators> <titles> <title>Survivability Based Optimal Air Combat Mission Planning With Reinforcement Learning</title> </titles> <publisher>Aperta</publisher> <publicationYear>2018</publicationYear> <dates> <date dateType="Issued">2018-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Conference paper</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/31943</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.31942</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.31943</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">The mission-threat analysis is the key factor in air combat missions. The strategic success evaluation of a mission is done through survivability assessment. The mission assessment process begins with the modeling of threats in which a hostile environment can be constructed through these models. Then, based on the environment model including stochasticity, an optimum strategy maximizing the aircraft's survivability is obtained. This study proposes a survivability analysis and optimal mission planning methodology using reinforcement learning for an aircraft flying in a human-made and hostile natural environment.</description> </descriptions> </resource>
Görüntülenme | 28 |
İndirme | 7 |
Veri hacmi | 1.3 kB |
Tekil görüntülenme | 28 |
Tekil indirme | 7 |