Neural approximators for functional optimization

被引:0
|
作者
Zoppoli, R
Parisini, T
Sanguineti, M
机构
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页码:3290 / 3293
页数:4
相关论文
共 50 条
  • [1] Subproblem optimization with regression and neural network approximators
    Patnaik, SN
    Guptill, JD
    Hopkins, DA
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2005, 194 (30-33) : 3359 - 3373
  • [2] Accuracy of neural network approximators in simulation-optimization
    Johnson, VM
    Rogers, LL
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 2000, 126 (02): : 48 - 56
  • [3] Optimization of Stator Channels Positions Using Neural Network Approximators
    Sikora, M.
    Ancik, Z.
    [J]. MECHATRONICS: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES, 2011, : 365 - 373
  • [4] Subsonic aircraft design optimization with neural network and regression approximators
    Patnaik, SN
    Coroneos, RM
    Guptill, JD
    Hopkins, DA
    [J]. JOURNAL OF AIRCRAFT, 2005, 42 (05): : 1347 - 1349
  • [5] Optimization for aircraft engines with regression and neural-network analysis approximators
    Patnaik, SN
    Guptill, JD
    Hopkins, DA
    Lavelle, TM
    [J]. JOURNAL OF PROPULSION AND POWER, 2001, 17 (01) : 85 - 92
  • [6] Recurrent neural networks are universal approximators
    Schaefer, Anton Maximilian
    Zimmermann, Hans Georg
    [J]. ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1, 2006, 4131 : 632 - 640
  • [7] Layered neural networks as universal approximators
    Ciuca, I
    Ware, JA
    [J]. COMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS, 1997, 1226 : 411 - 415
  • [8] Recurrent neural networks are universal approximators
    Schaefer, Anton Maximilian
    Zimmermann, Hans-Georg
    [J]. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2007, 17 (04) : 253 - 263
  • [9] On function approximators implementable as layered neural networks
    Ciuca, I
    [J]. 24TH EUROMICRO CONFERENCE - PROCEEDING, VOLS 1 AND 2, 1998, : 663 - 669
  • [10] Artificial neural networks as approximators of stochastic processes
    Belli, MR
    Conti, M
    Crippa, P
    Turchetti, C
    [J]. NEURAL NETWORKS, 1999, 12 (4-5) : 647 - 658