A multilayer RBF network and its supervised learning

被引：0
|
作者：
Chao, JH
Hoshino, A
Kitamura, T
Masuda, T
机构：
来源：
8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a general form of multilayer RBF networks is introduced. A complete supervised training rules for parameters are also presented. To achieve global convergence we apply a global optimazation algorithm called magic-brush method. This network is then generalized to a pyramid network. Simulations shown higher representation and generalization capability of the proposed networks comparing with the RBF and multilayer networks with sigmoid activation functions.
引用
收藏
页码：1366 / 1371
页数：6
相关论文
共 50 条
  • [1] A multilayer RBF network and its supervised learning
    Chao, JH
    Hoshino, M
    Kitamura, T
    Masuda, T
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 1995 - 2000
  • [2] RBF network with two-stage supervised learning: an application
    Blonda, P
    Baraldi, A
    D'Addabbo, A
    Tarantino, C
    2002 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY PROCEEDINGS, 2002, : 129 - 133
  • [3] Supervised Learning in a Multilayer, Nonlinear Chemical Neural Network
    Arredondo, David
    Lakin, Matthew R.
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) : 7734 - 7745
  • [4] An efficient multilayer RBF neural network and its application to regression problems
    Qinghua Jiang
    Lailai Zhu
    Chang Shu
    Vinothkumar Sekar
    Neural Computing and Applications, 2022, 34 : 4133 - 4150
  • [5] An efficient multilayer RBF neural network and its application to regression problems
    Jiang, Qinghua
    Zhu, Lailai
    Shu, Chang
    Sekar, Vinothkumar
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (06): : 4133 - 4150
  • [6] Live Pig-Weight Learning and Prediction Method Based on a Multilayer RBF Network
    Chen, Haoming
    Liang, Yun
    Huang, Hao
    Huang, Qiong
    Gu, Wei
    Liang, Hao
    AGRICULTURE-BASEL, 2023, 13 (02):
  • [7] Multilayer Perceptron Neural Network Supervised Learning Based Solar Radiation Prediction
    Devi, M. Shyamala
    Anandaraj, A. Peter Soosai
    Thanooj, K. Venkata
    Guptha, P. V. Sandeep
    Reddy, A. Jayanth
    DISTRIBUTED COMPUTING AND OPTIMIZATION TECHNIQUES, ICDCOT 2021, 2022, 903 : 625 - 634
  • [8] Jamming in Multilayer Supervised Learning Models
    Franz, Silvio
    Hwang, Sungmin
    Urbani, Pierfrancesco
    PHYSICAL REVIEW LETTERS, 2019, 123 (16)
  • [9] Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding
    Timilsina, Mohan
    Novacek, Vit
    d'Aquin, Mathieu
    Yang, Haixuan
    NEURAL NETWORKS, 2022, 156 : 205 - 217
  • [10] Multilayer Photonic Spiking Neural Networks: Generalized Supervised Learning Algorithm and Network Optimization
    Fu, Chentao
    Xiang, Shuiying
    Han, Yanan
    Song, Ziwei
    Hao, Yue
    PHOTONICS, 2022, 9 (04)
12345