Learning Algorithm of Neural Networks on Spherical Cap

被引：0
|
作者：
Chen, Zhixiang [1 ]
Hu, Jinjie [1 ]
Cao, Feilong [2 ]
机构：
[1] Shaoxing Univ, Dept Math, Shaoxing, Peoples R China
[2] China Jiliang Univ, Dept Math, Hangzhou, Zhejiang, Peoples R China
来源：
JOURNAL OF NETWORKS | 2015年 / 10卷 / 03期
关键词：
Spherical Cap; Neural Network; Learning; Interpolation; BP Algorithm;
D O I：
10.4304/jnw.10.3.152-158
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the learning algorithm of neural network on the spherical cap. Firstly, we construct the inner weights and biases from sample data, such that the network has the interpolation property on the sampling points. Secondly, we construct the BP network and BP learning algorithm. Finally, we analyze the generalization ability for the constructed networks and give the numerical experiments.
引用
收藏
页码：152 / 158
页数：7
相关论文
共 50 条
  • [31] The research with Gabor wavelet neural networks algorithm on target recognition
    Sun, HG
    Pan, YX
    Zhang, JB
    Electronic Imaging and Multimedia Technology IV, 2005, 5637 : 339 - 346
  • [32] Granulometric analysis of aggregate for concrete through an algorithm based on neural networks (Deep Learning)
    Gutierrez Layme, Delia
    Lopez Hinostroza, Hamhit
    Sosa Aquise, Ruben
    REVISTA INGENIERIA DE CONSTRUCCION, 2023, 38 (03): : 448 - 460
  • [33] Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks
    Fan, Qinwei
    Peng, Jigen
    Li, Haiyang
    Lin, Shoujin
    IEEE ACCESS, 2021, 9 : 28742 - 28752
  • [34] Solving flows of dynamical systems by deep neural networks and a novel deep learning algorithm
    Liao, Guangyuan
    Zhang, Limin
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2022, 202 : 331 - 342
  • [35] Effective learning in recurrent max-min neural networks
    Teow, LN
    Loe, KF
    NEURAL NETWORKS, 1998, 11 (03) : 535 - 547
  • [36] Classification of companies with theassistance of self-learning neural networks
    Konecny, Vladimir
    Trenz, Oldrich
    Svobodova, Eliska
    AGRICULTURAL ECONOMICS-ZEMEDELSKA EKONOMIKA, 2010, 56 (02): : 51 - 58
  • [37] Optimising reinforcement learning for neural networks
    Hurwitz, E
    Marwala, T
    GAME-ON 2005: 6th International Conference on Intelligent Games and Simulation, 2005, : 13 - 18
  • [38] Learning persistent dynamics with neural networks
    Ceccatto, HA
    Navone, HD
    Waelbroeck, H
    NEURAL NETWORKS, 1998, 11 (01) : 145 - 151
  • [39] H∞-learning of layered neural networks
    Nishiyama, K
    Suzuki, K
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2001, 12 (06): : 1265 - 1277
  • [40] Learning with Deep Photonic Neural Networks
    Leelar, Bhawani Shankar
    Shivaleela, E. S.
    Srinivas, T.
    2017 IEEE WORKSHOP ON RECENT ADVANCES IN PHOTONICS (WRAP), 2017,
12345