Optimum design using radial basis function networks by adaptive range genetic algorithms (determination of radius in radial basis function networks)
暂无分享,去创建一个
Hirotaka Nakayama | Masao Arakawa | Yeboon Yun | Hiroshi Ishikawa | H. Nakayama | Yeboon Yun | H. Ishikawa | M. Arakawa | Ye Boon Yun
[1] Raphael T. Haftka,et al. Construction of response surfaces for design optimization applications , 1996 .
[2] S. Suzuki,et al. Additional Learning and Forgetting by RBF Networks and its Applications to Design of Support Structures in Tunnel Construction , 1998, NC.
[3] Ichiro Hagiwara,et al. STRUCTURAL OPTIMIZATION BASED ON HOLOGRAPHIC NEURAL NETWORK AND ITS EXTRAPOLATION , 1998 .
[4] M. Arakawa,et al. Development of Adaptive Real Range(ARRange)Genetic Algorithms , 1998 .
[5] Douglas C. Montgomery,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[6] Raphael T. Haftka,et al. Stacking Sequence Optimizations for Composite Plate Buckling by Genetic Algorithm with Response Surface in Lamination Parameters. , 1998 .
[7] Masao Arakawa,et al. Foraging Strategic Genetic Algorithms to Obtain Multiple Acceptable Designs , 1999 .
[8] Raphael T. Haftka,et al. Response surface approximations for structural optimization , 1996 .