A fast learning algorithm of neural networks for approximating function

被引:0
|
作者
Zhu, JB [1 ]
Ma, SL [1 ]
机构
[1] Univ natl Def Technol, Dept 7, Changsha 410073, Hunan, Peoples R China
关键词
neural network; approximating function; wavelet analysis; learning algorithm;
D O I
暂无
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A fast learning algorithm of neural network for approximation function was presented by analyzing different characters of parameters in network, This method can speed up the rate of network convergence. By approximating various functions, and comparing with other methods, this algorithm is shown to have satisfactory performances.
引用
收藏
页码:303 / 307
页数:5
相关论文
共 3 条
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  • [2] WAVELET NETWORKS
    ZHANG, QG
    BENVENISTE, A
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (06): : 889 - 898
  • [3] Zhu Wenge, 1997, Acta Mathematicae Applacatae Sinica, V20, P175