Application of feed-forward neural networks autoregressive models with genetic algorithm in gross domestic product prediction

被引：0
|
作者：
Giovanis, E. [1 ]
机构：
[1] Royal Holloway University of London, Department of Economics, Egham, Surrey TW20 0EX, United Kingdom
来源：
World Academy of Science, Engineering and Technology | 2010年 / 64卷
关键词：
Auto regressive models - Error back propagation algorithm - Genetics algorithms - Gross domestic product growths - Gross domestic products - Training optimizations - Training process - Weighted regression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：653 / 659
相关论文
共 50 条
  • [1] Application of feed-forward neural networks autoregressive models with genetic algorithm in gross domestic product prediction
    Giovanis, Eleftherios
    [J]. World Academy of Science, Engineering and Technology, 2010, 40 : 658 - 664
  • [2] Yet another genetic algorithm for feed-forward neural networks
    Neruda, R
    [J]. NINTH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1997, : 375 - 380
  • [3] FEED-FORWARD NEURAL NETWORKS: AN APPLICATION TO THE PREDICTION OF STUDENTS' PERFORMANCE
    Messineo, Grazia
    Vassallo, Salvatore
    [J]. EDULEARN16: 8TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2016, : 1141 - 1148
  • [4] Optimizing feed-forward neural networks using cascaded genetic algorithm
    Zhou, LX
    Li, M
    Yang, XQ
    [J]. THIRD INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION, PTS 1 AND 2, 2003, 5286 : 183 - 186
  • [5] Feed-forward and recurrent neural networks in signal prediction
    Prochazka, Ales
    Pavelka, Ales
    [J]. ICCC 2007: 5TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL CYBERNETICS, PROCEEDINGS, 2007, : 93 - 96
  • [6] Feed-forward neural networks for secondary structure prediction
    Barlow, T.W.
    [J]. Journal of Molecular Graphics, 1995, 13 (03):
  • [7] An Evolutionary Algorithm for Feed-Forward Neural Networks Optimization
    Safi, Youssef
    Bouroumi, Abdelaziz
    [J]. 2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, : 475 - 480
  • [8] Optimizing and Learning Algorithm for Feed-forward Neural Networks
    Bachiller, Pilar
    González, Julia
    [J]. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2001, 5 (01) : 51 - 57
  • [9] Feed-forward neural networks
    Bebis, George
    Georgiopoulos, Michael
    [J]. IEEE Potentials, 1994, 13 (04): : 27 - 31
  • [10] Nonlinear vector prediction using feed-forward neural networks
    Rizvi, SA
    Wang, LC
    Nasrabadi, NM
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (10) : 1431 - 1436
12345