An Improved Levenberg-Marquardt Learning Algorithm for Neural Networks Based on Terminal Attractors

被引:0
|
作者
Batbayar, Batsukh [1 ]
Yu, Xinghuo [1 ]
机构
[1] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia
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
In this paper, an improved Levenberg-Marquardt learning algorithm based on terminal attractors for feedforward neural networks is proposed. The effectiveness of the proposed algorithm in improving learning speed is shown by the simulation results.
引用
收藏
页码:333 / 336
页数:4
相关论文
共 50 条
  • [1] The atmospheric model of neural networks based on the improved Levenberg-Marquardt algorithm
    Cui, Wenhui
    Qu, Wei
    Jiang, Min
    Yao, Gang
    [J]. OPEN ASTRONOMY, 2021, 30 (01) : 24 - 35
  • [2] Adaptive Levenberg-Marquardt Algorithm: A New Optimization Strategy for Levenberg-Marquardt Neural Networks
    Yan, Zhiqi
    Zhong, Shisheng
    Lin, Lin
    Cui, Zhiquan
    [J]. MATHEMATICS, 2021, 9 (17)
  • [3] LOCAL LEVENBERG-MARQUARDT ALGORITHM FOR LEARNING FEEDFORWAD NEURAL NETWORKS
    Bilski, Jaroslaw
    Kowalczyk, Bartosz
    Marchlewska, Alina
    Zurada, Jacek M.
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH, 2020, 10 (04) : 299 - 316
  • [4] Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks
    Bilski, Jaroslaw
    Smolag, Jacek
    Zurada, Jacek M.
    [J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I, 2015, 9119 : 3 - 14
  • [5] Levenberg-Marquardt Learning Algorithm for Quaternion-Valued Neural Networks
    Popa, Calin-Adrian
    [J]. PROCEEDINGS OF 2016 18TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC), 2016, : 272 - 278
  • [6] A New Levenberg-Marquardt Algorithm for feedforward neural networks
    Li, Yanlai
    Wang, Kuanquan
    Li, Tao
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 3516 - 3519
  • [7] An Improved Levenberg-Marquardt Algorithm with Adaptive Learning Rate for RBF Neural Network
    An Ru
    Li Wen Jing
    Han Hong Gui
    Qiao Jun Fei
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 3630 - 3635
  • [8] Research on EEG Classification with Neural Networks Based on the Levenberg-Marquardt Algorithm
    Chen, Yue
    Zhang, Shaobai
    [J]. INFORMATION COMPUTING AND APPLICATIONS, PT 2, 2012, 308 : 195 - 202
  • [9] Optimisation Using Levenberg-Marquardt Algorithm of Neural Networks for Iris
    Sayed, Asim
    Sardeshmukh, M.
    Limkar, Suresh
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2013, 2014, 247 : 91 - 98
  • [10] Neighborhood based Levenberg-Marquardt algorithm for neural network training
    Lera, G
    Pinzolas, M
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (05): : 1200 - 1203