Neural Network Principal Component using adaptive principal component extractor (APEX)

被引：0
|
作者：
Ali, AH [1 ]
机构：
[1] Raytheon Informat Technol & Sci Support, Pasadena, CA 91007 USA
来源：
CIMSA'03: 2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS | 2003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：
The Neural Networks Principal Component Analysis (NNPCA) can be a very useful tool in the analysis of data with very large temporal dimensionality. Considerable computer resources (computer memory and CPU-time) could be saved when processing large data matrix. The Neural Network Principal Component Analysis (NNPCA) is reviewed and an application to simulated climate data is introduced.
引用
收藏
页码：101 / 106
页数：6
相关论文
共 50 条
  • [1] ADAPTIVE PRINCIPAL COMPONENT EXTRACTION (APEX) AND APPLICATIONS
    KUNG, SY
    DIAMANTARAS, KI
    TAUR, JS
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (05) : 1202 - 1217
  • [2] Principal component analysis using neural network
    Yang, Jian-Gang
    Sun, Bin-Qiang
    Journal of Zhejinag University: Science, 2002, 3 (03): : 298 - 304
  • [3] Principal component analysis using neural network
    Jian-gang Yang
    Bin-qiang Sun
    Journal of Zhejiang University-SCIENCE A, 2002, 3 (3): : 298 - 304
  • [4] Improvements for image compression using adaptive principal component extraction (APEX)
    Ziyad, NA
    Gilmore, ET
    Chouikha, MF
    CONFERENCE RECORD OF THE THIRTY-SECOND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1998, : 969 - 973
  • [5] Image compression using principal component neural network
    Mi, JX
    Huang, DS
    2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 698 - 701
  • [6] Principal component analysis using neural network附视频
    杨建刚
    孙斌强
    Journal of Zhejiang University Science, 2002, (03) : 49 - 55
  • [7] Principal component analysis of multispectral images using neural network
    Chitroub, S
    Houacine, A
    Sansal, B
    ACS/IEEE INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, PROCEEDINGS, 2001, : 89 - 95
  • [8] A Cellular Neural Network as a Principal Component Analyzer
    Haung, Chao-Hui
    Leow, Wee-Kheng
    Racoceanu, Daniel
    IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 3004 - 3011
  • [9] Analyzing the structure of a neural network using Principal Component Analysis
    Opitz, DW
    1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 254 - 259
  • [10] Adaptive Principal Component Analysis
    Li, Xiangyu
    Wang, Hua
    PROCEEDINGS OF THE 2022 SIAM INTERNATIONAL CONFERENCE ON DATA MINING, SDM, 2022, : 486 - 494
12345