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Volumn 18, Issue 3, 1999, Pages 266-274

Optimization of electromagnetic devices using a combined finite element/neural network approach with on-line training

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; FINITE ELEMENT METHOD; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MAGNETIC CIRCUITS; MATHEMATICAL MODELS; NEURAL NETWORKS; ONLINE SYSTEMS; OPTIMIZATION; SENSITIVITY ANALYSIS;

EID: 0032649571     PISSN: 03321649     EISSN: None     Source Type: Journal    
DOI: 10.1108/03321649910274801     Document Type: Article
Times cited : (9)

References (6)
  • 1
    • 0028185085 scopus 로고
    • Artificial neural network for the inverse electromagnetic problem of system identification
    • Miami, FL, April
    • Arkadan, A.A. and Chen, Y. (1994), "Artificial neural network for the inverse electromagnetic problem of system identification", Southeastcon '94, Miami, FL, April, pp. 162-4.
    • (1994) Southeastcon '94 , pp. 162-164
    • Arkadan, A.A.1    Chen, Y.2
  • 3
    • 0028514084 scopus 로고
    • A method of computing the sensitivity of electromagnetic quantities to changes in materials and sources
    • Dyck, D.N., Lowther, D.A. and Freeman, E.M. (1994), "A method of computing the sensitivity of electromagnetic quantities to changes in materials and sources", IEEE Transactions on Magnetics, Vol. 30 No. 5, pp. 3415-18.
    • (1994) IEEE Transactions on Magnetics , vol.30 , Issue.5 , pp. 3415-3418
    • Dyck, D.N.1    Lowther, D.A.2    Freeman, E.M.3
  • 4
    • 33748019951 scopus 로고    scopus 로고
    • Utilizing feed forward neural networks for acceleration of global optimization procedures
    • Ebner, T., Magele, C., Brandstätter, B.R. and Richter, K.R. (1998), "Utilizing feed forward neural networks for acceleration of global optimization procedures", IEEE Transactions on Magnetics, Vol. 34 No. 5, pp. 2928-31.
    • (1998) IEEE Transactions on Magnetics , vol.34 , Issue.5 , pp. 2928-2931
    • Ebner, T.1    Magele, C.2    Brandstätter, B.R.3    Richter, K.R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.