Identification of parameter coupling in turbine design using neural networks

被引：0
|
作者：
General Electric Corporate R&D, Cent, Schenectady, United States [1 ]
机构：
来源：
J Propul Power | / 3卷 / 503-508期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Sub-micron Parameter Scaling for Analog Design Using Neural Networks
    Bagheri-Soulla, A. A.
    Ghaznavi-Ghoushchi, M. B.
    2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND TECHNOLOGY, VOL I, PROCEEDINGS, 2009, : 523 - 526
  • [22] Parameter identification via neural networks with fast convergence
    Yadaiah, N
    Sivakumar, L
    Deekshatulu, BL
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2000, 51 (3-4) : 157 - 167
  • [23] Neural networks: A method for joint dynamic parameter identification
    Liu, W
    Ewins, DJ
    PROCEEDINGS OF IMAC-XIX: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2, 2001, 4359 : 1490 - 1496
  • [24] Coupling parameter in synchronization of small-world neural networks
    Wang, SJ
    Xu, XJ
    Wu, ZX
    Wang, YH
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2005, 16 (12): : 1841 - 1848
  • [25] Modelling and parameter identification of penicillin fermentation using physics-informed neural networks
    Zhao, Siqi
    Zhao, Zhonggai
    Liu, Fei
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2024,
  • [26] An inverse parameter identification procedure assessing the quality of the estimates using Bayesian neural networks
    Unger, Jorg F.
    Koenke, Carsten
    APPLIED SOFT COMPUTING, 2011, 11 (04) : 3357 - 3367
  • [27] Simulation modeling of multi-parameter sensor signal identification using neural networks
    Turchenko, IV
    2004 2ND INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOL 3, STUDENT SESSIONS, PROCEEDINGS, 2004, : 48 - 53
  • [28] A novel approach to inverse design of wind turbine airfoils using tandem neural networks
    Anand, Apurva
    Marepally, Koushik
    Safdar, M. Muneeb
    Baeder, James D.
    WIND ENERGY, 2024, 27 (09) : 900 - 921
  • [29] Aerodynamic design of gas turbine cascades using global optimizers and artificial neural networks
    Mengistu, Temesgen
    Ghaly, Wahid
    COMPUTATIONAL FLUID DYNAMICS 2004, PROCEEDINGS, 2006, : 669 - +
  • [30] Wind turbine blade design with airfoil shape control using invertible neural networks
    Jasa, John
    Glaws, Andrew
    Bortolotti, Pietro
    Vijayakumar, Ganesh
    Barter, Garrett
    SCIENCE OF MAKING TORQUE FROM WIND, TORQUE 2022, 2022, 2265
12345