Prediction of gross domestic product development on the basis of frontal neural networks, genetic and eugenic algorithms

被引：0
|
作者：
Olej, V [1 ]
机构：
[1] Matej Bel Univ, Dept Informat Syst, Sch Finance, Banska Bystrica 97401, Slovakia
来源：
INTELLIGENT TECHNOLOGIES - THEORY AND APPLICATIONS: NEW TRENDS IN INTELLIGENT TECHNOLOGIES | 2002年 / 76卷
关键词：
gross domestic product; economic variables; prediction; frontal neural networks; genetic and eugenic algorithms; EuSANE algorithm;
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 paper presents the possibility of application of frontal neural networks, genetic and eugenic algorithms in predicting gross domestic product development by designing a prediction model whose accuracy is superior to the model used in practice [1]. The learning process is implemented by means of a newly designed algorithm based on the EuSANE algorithm [2].
引用
收藏
页码：309 / 314
页数：6
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] Application of feed-forward neural networks autoregressive models with genetic algorithm in gross domestic product prediction
    Giovanis, E.
    [J]. World Academy of Science, Engineering and Technology, 2010, 64 : 653 - 659
  • [3] A comparative study of different neural networks in predicting gross domestic product
    Lai, Han
    [J]. JOURNAL OF INTELLIGENT SYSTEMS, 2022, 31 (01) : 601 - 610
  • [4] Backpropagation and Recurrent Neural Networks for Thai exports and gross domestic product forecasting
    Pattamavorakun, Suwat
    Pattamavorakun, Suwarin
    [J]. WMSCI 2005: 9TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL 7, 2005, : 99 - 104
  • [5] TRAINING PRODUCT UNIT NEURAL NETWORKS WITH GENETIC ALGORITHMS
    JANSON, DJ
    FRENZEL, JF
    [J]. IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1993, 8 (05): : 26 - 33
  • [6] Aggregate accounting research and development expenditures and the prediction of real gross domestic product
    Collins, Daniel W.
    Nguyen, Nhat Q.
    [J]. JOURNAL OF ACCOUNTING AND PUBLIC POLICY, 2022, 41 (01)
  • [7] Predicting the Gross Domestic Product Using Neural Networks and the Group Method of Data Handling
    Guo, Qiuyan
    He, Yue
    Huang, Yong
    [J]. FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013), 2013, : 1 - 8
  • [8] Application of ARIMA Model in the Prediction of the Gross Domestic Product
    Yang, Bing
    Li, Chenggang
    Li, Min
    Pan, Kang
    Wang, Di
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 1258 - 1262
  • [9] Prediction of gross domestic product development by Takagi-Sugeno fuzzy inference systems
    Olej, V
    Krupka, J
    [J]. 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, PROCEEDINGS, 2005, : 186 - 191
  • [10] The optimization of radial basis probabilistic neural networks based on genetic algorithms
    Guo, L
    Huang, DS
    Zhao, WB
    [J]. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 3213 - 3217
12345