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Volumn 11, Issue 10, 2005, Pages 1351-1356

Multidisciplinary design optimization based on artificial neural network

Author keywords

Artificial neural network; Collaborative strategy; Multidisciplinary optimization; Response surface

Indexed keywords

ALGORITHMS; ARCHITECTURE; COMPUTER SUPPORTED COOPERATIVE WORK; CONSTRAINT THEORY; MATHEMATICAL MODELS; MISSILES; NEURAL NETWORKS; OPTIMIZATION; SYSTEMS ANALYSIS;

EID: 28844463165     PISSN: 10065911     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (9)
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  • 2
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    • Research on the coupled factors in MDO for complex products
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  • 3
    • 0030837272 scopus 로고    scopus 로고
    • Excution of multi-disciplinary design optimization approaches on common test problems
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    • (1997) AIAA Journal , vol.35 , Issue.1 , pp. 178-186
    • Balling, R.J.1    Wilkision, C.A.2
  • 4
    • 0031232890 scopus 로고    scopus 로고
    • Multi-objective collaborative optimization
    • TAPPETA R V, RENAUD J E. Multi-objective collaborative optimization[J]. Journal of Mechanical Design, 1997, 119(6): 403-411.
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    • Tappeta, R.V.1    Renaud, J.E.2
  • 5
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    • Multidisciplinary optimization methods for aircraft preliminary design
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  • 6
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  • 7
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    • Method and application of winged missile oriented multidisciplinary robust design optimization
    • Wuhan: Huazhong University of Science and Technology, Chinese source
    • CHEN Jianjiang. Method and application of winged missile oriented multidisciplinary robust design optimization[D]. Wuhan: Huazhong University of Science and Technology, 2004 (in Chinese).
    • (2004)
    • Chen, J.1
  • 8
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.