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Inverse Problems in Science and Engineering Volume 13, 2005 - Issue 6
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Original Articles

FIR-type and IIR-type neural networks, and their application to shape optimization of a magnetic pole

Akio Kimuraa Hachinohe Institute of Technology, 88-1 Myo-Ohbiraki, Hachinohe, 031-8501, Japan
,
Tomoyuki Matsuzakaa Hachinohe Institute of Technology, 88-1 Myo-Ohbiraki, Hachinohe, 031-8501, Japan
&
Yukio Kagawab Akita Prefectural University, Honjo, 84-4 Tsuchiya-Ebinokuchi, Honjo, Akita 015-0055, Japan
Pages 617-634 | Received 01 Apr 2002, Accepted 12 Apr 2005, Published online: 22 Aug 2006

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  • Kimura, A, Matsuzaka, T, and Kagawa, Y, 2000. "Design optimization of electromagnetic devices with neural network". In: Proceedings of Japan Society for Simulation Technology. 2000. p. pp. 391–396.
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  • Furuya, J, Nishi, M, and Matsuzaka, T, March, 2001. Application of FIR-type neural network to system indentifications, Transactions of Institute of Electrical Engineering of Japan 121 (3) (March, 2001), pp. 662–672.
  • Kimura, A, Matsuzaka, T, and Kagawa, Y, May, 2001. The application of the IIR-type neural network to the magnetic pole shape optimization, Transactions of Institute of Electrical Engineering of Japan 121 (5) (May, 2001), pp. 616–617.
  • Ovacik, L, and Salon, SJ, 1996. Shape optimization of nonlinear magnetostatic problems using the finite element method embedded in optimizer, IEEE Transactions on Magnetics 32 (5) (1996), pp. 4323–4325.

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