A hybrid recurrent neural networks model based on synthesis features to forecast the Taiwan stock market

被引：0
|
作者：
Department of Information Management, Yuanpei University, No. 306, Yuanpei Street, Hsin Chu 30015, Taiwan [1 ]
不详 [2 ]
机构：
来源：
Int. J. Innov. Comput. Inf. Control | 2012年 / 8卷 / 5559-5571期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] A HYBRID RECURRENT NEURAL NETWORKS MODEL BASED ON SYNTHESIS FEATURES TO FORECAST THE TAIWAN STOCK MARKET
    Wei, Liang-Ying
    Cheng, Ching-Hsue
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (08): : 5559 - 5571
  • [2] A novel hybrid model based on recurrent neural networks for stock market timing
    Yue Qiu
    Hao-Yu Yang
    Shan Lu
    Wei Chen
    Soft Computing, 2020, 24 : 15273 - 15290
  • [3] A novel hybrid model based on recurrent neural networks for stock market timing
    Qiu, Yue
    Yang, Hao-Yu
    Lu, Shan
    Chen, Wei
    SOFT COMPUTING, 2020, 24 (20) : 15273 - 15290
  • [4] A hybrid model based on adaptive-network-based fuzzy inference system to forecast Taiwan stock market
    Wei, Liang-Ying
    Chen, Tai-Liang
    Ho, Tien-Hwa
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (11) : 13625 - 13631
  • [5] Hybrid method of using neural networks and ARMA model to forecast value at risk (VAR) in the Chinese stock market
    Chang, Hae-Ching
    Chou, Jian-Hsin
    Chen, Cheng-Te
    Hsieh, Chin-Shan
    JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2008, 11 (06): : 1093 - 1108
  • [6] Stock Market Forecast Based on RBF Neural Network
    Ji, Teng
    Che, Wengang
    Zong, Nana
    PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS, ISKE 2013, 2014, 279 : 955 - 962
  • [7] The haze level forecast based on the hybrid neural networks model
    Wang, Kai
    Zhao, Hong
    Liu, Aixia
    Han, Bin
    Bai, Zhipeng
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1, 2009, : 744 - +
  • [8] Predicting Stock Market Trends by Recurrent Deep Neural Networks
    Yoshihara, Akira
    Fujikawa, Kazuki
    Seki, Kazuhiro
    Uehara, Kuniaki
    PRICAI 2014: TRENDS IN ARTIFICIAL INTELLIGENCE, 2014, 8862 : 759 - 769
  • [9] Fine Dust Forecast Based on Recurrent Neural Networks
    Kang, Sunwon
    Kim, Namgi
    Lee, Byoung-Dai
    2019 21ST INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ICT FOR 4TH INDUSTRIAL REVOLUTION, 2019, : 456 - 459
  • [10] The Research on Stock Price Forecast Model Based on Data Mining of BP Neural Networks
    Wu Ming-tao
    Yang Yong
    2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA), 2013, : 1526 - 1529
12345