Precision of a radial basis function neural network tracking method

被引：2
|
作者：
Hanan, J [1 ]
Zhou, HY [1 ]
Chao, TH [1 ]
机构：
[1] Jet Prop Lab, Pasadena, CA 91109 USA
来源：
OPTICAL PATTERN RECOGNITION XIV | 2003年 / 5106卷
关键词：
autonomous tracking; neural network; target recognition; data reduction;
D O I：
10.1117/12.501406
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The precision of a radial basis function (RBF) neural network based tracking method has been assessed against real targets. Intensity profile feature extraction was used to build a model in real time, evolving with the target. Precision was assessed against traditionally measured frame-by-frame measurements from the recorded data set. The results show the potential limit for the technique and reveal intricacies associated with empirical data not necessarily observed in simulations.
引用
收藏
页码：146 / 153
页数：8
相关论文
共 50 条
  • [41] Radial basis function neural network for pulse radar detection
    Khairnar, D. G.
    Merchant, S. N.
    Desai, U. B.
    IET RADAR SONAR AND NAVIGATION, 2007, 1 (01): : 8 - 17
  • [42] Backpropagation to train an evolving radial basis function neural network
    de Jesus Rubio, Jose
    Vazquez, Diana M.
    Pacheco, Jaime
    EVOLVING SYSTEMS, 2010, 1 (03) : 173 - 180
  • [43] A radial basis function artificial neural network test for ARCH
    Blake, AP
    Kapetanios, G
    ECONOMICS LETTERS, 2000, 69 (01) : 15 - 23
  • [44] AN APPLICATION OF RADIAL BASIS NEURAL NETWORK FUNCTION FOR RAINFALL PREDICTION
    Muthu, Nirmala
    IIOAB JOURNAL, 2020, 11 (02) : 26 - 30
  • [45] Statistical inference in a redesigned Radial Basis Function neural network
    Praga-Alejo, Rolando J.
    Gonzalez-Gonzalez, David S.
    Cantu-Sifuentes, Mario
    Perez-Villanueva, Pedro
    Torres-Trevino, Luis M.
    Flores-Hermosillo, Bernardo D.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (08) : 1881 - 1891
  • [46] Radial basis function neural network based on order statistics
    Moreno-Escobar, Jose A.
    Gallegos-Funes, Francisco J.
    Ponomaryov, Volodymyr
    de-la-Rosa-Vazquez, Jose M.
    MICAI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4827 : 150 - +
  • [47] Multivariate statistical inference in a radial basis function neural network
    de Leon-Delgado, Homero
    Praga-Alej, Rolando J.
    Gonzalez-Gonzalez, David S.
    Cantu-Sifuentes, Mario
    EXPERT SYSTEMS WITH APPLICATIONS, 2018, 93 : 313 - 321
  • [48] Hardware implementation of a combined radial basis function neural network
    Liang, Yan
    Jin, Dongming
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2009, 49 (10): : 1692 - 1695
  • [49] A clustering algorithm for radial basis function neural network initialization
    Wang, Di
    Zeng, Xiao-Jun
    Keane, John A.
    NEUROCOMPUTING, 2012, 77 (01) : 144 - 155
  • [50] Radial basis function network estimation of neural activity fields
    Das, S
    Anderson, RW
    Keller, EL
    IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 1559 - 1563
12345